CN113074623A - Multi-data-combined landslide morphological structure detection method - Google Patents
Multi-data-combined landslide morphological structure detection method Download PDFInfo
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- G01B7/16—Measuring arrangements characterised by the use of electric or magnetic techniques for measuring the deformation in a solid, e.g. by resistance strain gauge
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Abstract
The invention discloses a landslide morphological structure detection method based on multivariate data combination, which belongs to the field of geological information and comprises the steps of surveying the morphology of a slope surface through aerial orthographic images and airborne laser data, identifying the deformation characteristics, damage signs and micro landforms of the surface of a researched area by combining field geological survey and ground surface deformation monitoring (GNSS), obtaining landslide morphological change information, representing the characteristics and identification discontinuity of rock and soil through rock and soil drilling of a selected section and geoelectricity acquisition and analysis, establishing a landslide body geological model and a landform model, and finally, carrying out type analysis on a landslide region by combining the landforms and the geological model to finish landslide morphological structure detection; the method solves the problem that disaster-causing factors are considered from a single angle in the traditional landslide form structure detection.
Description
Technical Field
The invention relates to the field of geological information, in particular to a landslide morphological structure detection method based on multivariate data combination.
Background
In the traditional landslide morphological structure detection, researchers often consider disaster-causing factors from a single perspective. Since many influence factors exist in the process of the macro geological movement of landslide in both time and space, different spatial data, different time data and different research method databases are built according to the influence factors. The ground form and underground structure (form structure) data of the slope catastrophe process are used for accurately evaluating the stability of the slope and preventing and controlling disasters. The multi-data combined landslide morphological structure detection method disclosed by the method is based on air remote measurement, ground survey, internal actual detection and inversion and is an effective means for landslide morphological structure research. The method has important significance in slope catastrophe process analysis and slope risk evaluation.
Disclosure of Invention
Aiming at the defects in the prior art, the landslide form structure detection method based on the multi-metadata combination solves the problem that disaster-causing factors are considered from a single angle in the traditional landslide form structure detection.
In order to achieve the purpose of the invention, the invention adopts the technical scheme that: a landslide morphological structure detection method based on multivariate data combination comprises the following steps:
s1, collecting morphological characteristics of a suspected landslide area;
s2, obtaining ground deformation characteristics of the suspected landslide area through a ground surface deformation detection system GNSS;
s3, obtaining a landslide area through preliminary division of morphological characteristics of the suspected landslide area, and carrying out aerial photography through an unmanned aerial vehicle carrying a laser radar and a Digital Elevation Model (DEM) analysis system to obtain a landslide area global view;
s4, comparing the landslide area overall image with the area aviation orthographic image before the landslide event to obtain landslide appearance change information;
s5, drilling the deformed slope body area indicated in the morphological characteristics of the landslide area to obtain core characteristics;
s6, marking the morphological characteristics, the ground deformation characteristics and the rock core characteristics of the landslide area in the landslide area overall view, and performing section division on the landslide area according to the marking condition to obtain the landslide area overall view after the section division;
s7, measuring the underground resistivity of the landslide area through a high-density resistivity tester and RES2DINV software to obtain a horizontal distance-elevation position-resistivity value of the landslide area;
s8, summarizing morphological characteristics of the landslide area, ground deformation characteristics, landslide morphology change information and a landslide area complete picture to obtain the surface morphology of the landslide area, and establishing a landslide area landform model;
s9, summarizing the core characteristics of the landslide area, the horizontal distance-elevation position-resistivity value of the landslide area and a landslide area complete picture after section division, analyzing to obtain the underground rock and soil body space position of the landslide area and the deformation and crushing degree of the underground rock and soil body space position, and establishing a landslide area geological model;
and S10, performing type analysis on the landslide area according to the landslide area landform model and the landslide area geological model, and completing landslide morphological structure detection.
Further, the morphological characteristics in step S1 include: trailing edge wall breakage, active cracking, scarps, scratches, stretch-draw grooves, and shallow collapse.
Further, the ground deformation feature in step S2 includes: the method comprises the following steps of surface displacement data, surface settlement data, maximum settlement rates of two sides of a landslide, maximum lifting rate of front edge rising and maximum deformation rate of the front edge rising.
Further, the drilling process in step S5 performs full hole coring using a single action double barrel rotary drilling method.
Further, the core characteristics in step S5 include: the quality parameter RQD of the drilled rock mass, the slope structure, the property of a deformation part, the buried depth of the deformation part, the shape of the deformation part and the lithology characteristics; the calculation expression of the drilling rock mass quality parameter RQD is as follows:
wherein L is the sum of the lengths of the core sections with the lengths larger than 10cm in one drilling round, and L is the current drilling round footage.
Further, the length of the cross-sectional line used for the section division in step S6 should exceed the boundary 10m of the landslide area.
Further, step S7 includes the following substeps:
s71, mounting electrodes of a high-density resistivity tester in the landslide area, and measuring to obtain initial voltage data of the landslide area;
s72, importing the initial voltage data into RES2DINV software, and converting to obtain the resistivity data of the landslide area;
s73, preprocessing the resistivity data through a filtering algorithm, eliminating a middle protruding sharp point and an edge deviation farther point, and obtaining filtered resistivity data;
and S74, performing terrain correction on the filtered resistivity data through electrode elevation data of the high-density resistivity tester, and performing iterative inversion on the corrected resistivity data by adopting a least square method to obtain a horizontal distance-elevation position-resistivity value of a landslide area.
Further, step S10 includes the following substeps:
s101, determining the extension condition of a deep sliding surface of a landslide area through a geological model of the landslide area;
s102, determining landslide body deformation and crack development conditions in a landslide region through a landslide region landform model;
s103, determining the type of the landslide morphological structure from the slope surface to the interior of the slope body according to the extension condition of the deep sliding surface of the landslide region, the deformation condition of the landslide body of the landslide region and the crack development condition, and finishing the detection of the landslide morphological structure.
Further, the types of the landslide form structures from the slope surface to the interior of the slope body in the step S103 include:
A. the slope surface develops a group of main crack sliding shear bodies, the slope surface develops two groups of main cracks, the sliding surface develops two groups of main cracks, the dumping deformation bodies extend along the slope and the sliding surface is approximately vertically intersected with the bedding surface, the slope surface cracks do not have a main direction and present a plurality of disorderly appearances, and the mass parameter RQD of the drilling rock mass above the sliding surface is less than 30% of a soil body;
the slide shear body includes: a. the deep shear body is large in slip surface buried depth value, extends along a slope and is always obliquely crossed with the surface of the sliding surface, the sliding shear body is extended along the slope and is provided with a high surface parallel to the surface of the sliding surface and is obliquely crossed with the surface of the sliding surface, and the slip body is extended along the slope and is provided with a sliding surface parallel to the surface of the sliding surface.
In conclusion, the beneficial effects of the invention are as follows: the establishment of the 'air-ground-inner' multivariate data joint analysis based on air telemetry, ground survey, internal real exploration and inversion is an effective means for morphological structure exploration. And summarizing the horizontal distance, the elevation position, the resistivity value and a landslide area complete picture after section division in a landslide area, analyzing to obtain the underground rock and soil body space position and the deformation and crushing degree of the underground rock and soil body space position in the landslide area, and establishing a landslide area geological model, wherein the whole process embodies all-around, multi-level and high-precision research in landslide detection.
Drawings
FIG. 1 is a flow chart of a method for detecting a landslide morphological structure by multivariate data combination;
FIG. 2 is a detailed method flowchart of a landslide morphological structure detection method with metadata federation;
FIG. 3 is a flow chart of obtaining horizontal distance-elevation position-resistivity values for a landslide area;
fig. 4 is a type diagram of a landslide area.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined in the appended claims, and all matters produced by the invention using the inventive concept are protected.
As shown in fig. 1-2, a method for detecting a landslide morphological structure by multivariate data combination comprises the following steps:
s1, collecting morphological characteristics of a suspected landslide area;
the morphological feature in step S1 includes: trailing edge wall breakage, active cracking, scarps, scratches, stretch-draw grooves, and shallow collapse.
S2, obtaining ground deformation characteristics of the suspected landslide area through a ground surface deformation detection system GNSS;
the ground deformation characteristics in step S2 include: the method comprises the following steps of surface displacement data, surface settlement data, maximum settlement rates of two sides of a landslide, maximum lifting rate of front edge rising and maximum deformation rate of the front edge rising.
S3, obtaining a landslide area through preliminary division of morphological characteristics of the suspected landslide area, and carrying out aerial photography through an unmanned aerial vehicle carrying a laser radar and a Digital Elevation Model (DEM) analysis system to obtain a landslide area global view;
s4, comparing the landslide area overall image with the area aviation orthographic image before the landslide event to obtain landslide appearance change information;
s5, drilling the deformed slope body area indicated in the morphological characteristics of the landslide area to obtain core characteristics;
the drilling process in step S5 performs full bore coring using a single action dual barrel rotary drilling method.
The core characteristics in step S5 include: the quality parameter RQD of the drilled rock mass, the slope structure, the property of a deformation part, the buried depth of the deformation part, the shape of the deformation part and the lithology characteristics; the calculation expression of the drilling rock mass quality parameter RQD is as follows:
wherein L is the sum of the lengths of the core sections with the lengths larger than 10cm in one drilling round, and L is the current drilling round footage.
S6, marking morphological characteristics, ground deformation characteristics and core characteristics of the landslide area in the landslide area overall view, and performing section division on the landslide area according to the marking condition, wherein the length of a longitudinal section line and a transverse section line adopted by the section division should exceed the boundary of the landslide area by 10m, so as to obtain the landslide area overall view after the section division;
s7, measuring the underground resistivity of the landslide area through a high-density resistivity tester and RES2DINV software to obtain a horizontal distance-elevation position-resistivity value of the landslide area;
as shown in fig. 3, step S7 includes the following substeps:
s71, mounting electrodes of a high-density resistivity tester in the landslide area, and measuring to obtain initial voltage data of the landslide area;
s72, importing the initial voltage data into RES2DINV software, and converting to obtain the resistivity data of the landslide area;
s73, preprocessing the resistivity data through a filtering algorithm, eliminating a middle protruding sharp point and an edge deviation farther point, and obtaining filtered resistivity data;
and S74, performing terrain correction on the filtered resistivity data through electrode elevation data of the high-density resistivity tester, performing iterative inversion on the corrected resistivity data by adopting a least square method, and setting a parameter RMS as convergence constraint to obtain a horizontal distance-elevation position-resistivity value of the landslide region.
Judging whether the error value of the RMS is less than ten percent in the inversion result, if not, increasing the iterative operation times again and continuing the iteration; if yes, judging whether the horizontal distance-elevation position-resistivity value is consistent with the drilling data, if yes, the horizontal distance-elevation position-resistivity value is available and is marked on the landslide area overall view graph after section division to be a two-dimensional section diagram of resistivity, and if not, returning to the step S74 to reset parameters and continuing to calculate until the drilling data is consistent.
S8, summarizing morphological characteristics of the landslide area, ground deformation characteristics, landslide morphology change information and a landslide area complete picture to obtain the surface morphology of the landslide area, and establishing a landslide area landform model;
s9, summarizing the core characteristics of the landslide area, the horizontal distance-elevation position-resistivity value of the landslide area and a landslide area complete picture after section division, analyzing to obtain the underground rock and soil body space position of the landslide area and the deformation and crushing degree of the underground rock and soil body space position, and establishing a landslide area geological model;
and S10, performing type analysis on the landslide area according to the landslide area landform model and the landslide area geological model, and completing landslide morphological structure detection.
Step S10 includes the following substeps:
s101, determining the extension condition of a deep sliding surface of a landslide area through a geological model of the landslide area;
s102, determining landslide body deformation and crack development conditions in a landslide region through a landslide region landform model;
s103, determining the type of the landslide morphological structure from the slope surface to the interior of the slope body according to the extension condition of the deep sliding surface of the landslide region, the deformation condition of the landslide body of the landslide region and the crack development condition, and finishing the detection of the landslide morphological structure.
As shown in fig. 4, the types of the form structures from the slope surface to the internal landslide of the slope body in step S103 include:
A. the slope surface develops a group of main crack sliding shear bodies, the slope surface develops two groups of main cracks, the sliding surface develops two groups of main cracks, the dumping deformation bodies extend along the slope and the sliding surface is approximately vertically intersected with the bedding surface, the slope surface cracks do not have a main direction and present a plurality of disorderly appearances, and the mass parameter RQD of the drilling rock mass above the sliding surface is less than 30% of a soil body;
the slide shear body includes: a. the deep shear body is large in slip surface buried depth value, extends along a slope and is always obliquely crossed with the surface of the sliding surface, the sliding shear body is extended along the slope and is provided with a high surface parallel to the surface of the sliding surface and is obliquely crossed with the surface of the sliding surface, and the slip body is extended along the slope and is provided with a sliding surface parallel to the surface of the sliding surface.
Claims (9)
1. A landslide morphological structure detection method based on multivariate data combination is characterized by comprising the following steps:
s1, collecting morphological characteristics of a suspected landslide area;
s2, obtaining ground deformation characteristics of the suspected landslide area through a ground surface deformation detection system GNSS;
s3, obtaining a landslide area through preliminary division of morphological characteristics of the suspected landslide area, and carrying out aerial photography through an unmanned aerial vehicle carrying a laser radar and a Digital Elevation Model (DEM) analysis system to obtain a landslide area global view;
s4, comparing the landslide area overall image with the area aviation orthographic image before the landslide event to obtain landslide appearance change information;
s5, drilling the deformed slope body area indicated in the morphological characteristics of the landslide area to obtain core characteristics;
s6, marking the morphological characteristics, the ground deformation characteristics and the rock core characteristics of the landslide area in the landslide area overall view, and performing section division on the landslide area according to the marking condition to obtain the landslide area overall view after the section division;
s7, measuring the underground resistivity of the landslide area through a high-density resistivity tester and RES2DINV software to obtain a horizontal distance-elevation position-resistivity value of the landslide area;
s8, summarizing morphological characteristics of the landslide area, ground deformation characteristics, landslide morphology change information and a landslide area complete picture to obtain the surface morphology of the landslide area, and establishing a landslide area landform model;
s9, summarizing the core characteristics of the landslide area, the horizontal distance-elevation position-resistivity value of the landslide area and a landslide area complete picture after section division, analyzing to obtain the underground rock and soil body space position of the landslide area and the deformation and crushing degree of the underground rock and soil body space position, and establishing a landslide area geological model;
and S10, performing type analysis on the landslide area according to the landslide area landform model and the landslide area geological model, and completing landslide morphological structure detection.
2. The method for detecting landslide morphology structure of claim 1 wherein said morphology features in step S1 comprises: trailing edge wall breakage, active cracking, scarps, scratches, stretch-draw grooves, and shallow collapse.
3. The multi-data-combined landslide morphology structure detection method of claim 1 wherein said ground deformation feature of step S2 comprises: the method comprises the following steps of surface displacement data, surface settlement data, maximum settlement rates of two sides of a landslide, maximum lifting rate of front edge rising and maximum deformation rate of the front edge rising.
4. The multi-data-integrated landslide morphology structure detection method of claim 1 wherein the drilling process of step S5 employs a single action dual barrel rotary drilling method for full bore coring.
5. The multi-data-combined landslide morphology structure detection method of claim 1 wherein said core characteristics in step S5 comprises: the quality parameter RQD of the drilled rock mass, the slope structure, the property of a deformation part, the buried depth of the deformation part, the shape of the deformation part and the lithology characteristics; the calculation expression of the drilling rock mass quality parameter RQD is as follows:
wherein L is the sum of the lengths of the core sections with the lengths larger than 10cm in one drilling round, and L is the current drilling round footage.
6. The method for detecting landslide morphology structure with multi-data union of claim 1 wherein said step S6 is characterized in that the length of cross section line used for cross section division should exceed the boundary of landslide area by 10 m.
7. The method for detecting landslide morphology structure with combined metadata according to claim 1 wherein said step S7 comprises the sub-steps of:
s71, mounting electrodes of a high-density resistivity tester in the landslide area, and measuring to obtain initial voltage data of the landslide area;
s72, importing the initial voltage data into RES2DINV software, and converting to obtain the resistivity data of the landslide area;
s73, preprocessing the resistivity data through a filtering algorithm, eliminating a middle protruding sharp point and an edge deviation farther point, and obtaining filtered resistivity data;
and S74, performing terrain correction on the filtered resistivity data through electrode elevation data of the high-density resistivity tester, and performing iterative inversion on the corrected resistivity data by adopting a least square method to obtain a horizontal distance-elevation position-resistivity value of a landslide area.
8. The method for detecting landslide morphology structure with combined metadata according to claim 1 wherein said step S10 comprises the sub-steps of:
s101, determining the extension condition of a deep sliding surface of a landslide area through a geological model of the landslide area;
s102, determining landslide body deformation and crack development conditions in a landslide region through a landslide region landform model;
s103, determining the type of the landslide morphological structure from the slope surface to the interior of the slope body according to the extension condition of the deep sliding surface of the landslide region, the deformation condition of the landslide body of the landslide region and the crack development condition, and finishing the detection of the landslide morphological structure.
9. The method for detecting landslide morphology structure of claim 8 wherein said step S103 of determining type of landslide morphology structure from slope surface to slope body interior comprises:
A. the slope surface develops a group of main crack sliding shear bodies, the slope surface develops two groups of main cracks, the sliding surface develops two groups of main cracks, the dumping deformation bodies extend along the slope and the sliding surface is approximately vertically intersected with the bedding surface, the slope surface cracks do not have a main direction and present a plurality of disorderly appearances, and the mass parameter RQD of the drilling rock mass above the sliding surface is less than 30% of a soil body;
the slide shear body includes: a. the deep shear body is large in slip surface buried depth value, extends along a slope and is always obliquely crossed with the surface of the sliding surface, the sliding shear body is extended along the slope and is provided with a high surface parallel to the surface of the sliding surface and is obliquely crossed with the surface of the sliding surface, and the slip body is extended along the slope and is provided with a sliding surface parallel to the surface of the sliding surface.
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