CN-121979928-A - Landslide space position data processing method and system based on dynamic segmentation

CN121979928ACN 121979928 ACN121979928 ACN 121979928ACN-121979928-A

Abstract

The invention discloses a landslide space position data processing method and system based on dynamic segmentation, and relates to the technical field of data processing, wherein the method comprises the steps of acquiring a target mountain slope and an observation line, acquiring a GIS module, acquiring a period to be processed and acquiring a surface slope sequence; the method comprises the steps of obtaining fluctuation indexes, marking the position of the acquisition point with the smallest fluctuation index corresponding to each of the first n acquisition points as a ridge line, obtaining absolute variables, obtaining the acquisition point corresponding to a surface slope sequence of the absolute variables with the fluctuation threshold exceeding a natural slope, taking the acquisition point as an initial trailing edge point, selecting the initial trailing edge point with the highest elevation as a landslide trailing edge point, obtaining the fluctuation indexes, marking the position of the acquisition point with the smallest fluctuation index corresponding to each of the last n acquisition points as a valley line, and obtaining space relative indexes according to the landslide trailing edge point, the ridge line and the valley line. The invention has the advantages of interference resistance, spatial consistency and comparability.

Inventors

ZHAO BO
SU LIJUN
ZENG LU
XIE QIJUN
CHEN WUYANG

Assignees

中国科学院、水利部成都山地灾害与环境研究所

Dates

Publication Date: 20260505
Application Date: 20260115

Claims (10)

1. A landslide space position data processing method based on dynamic segmentation is characterized by comprising the following steps: acquiring a target mountain slope and an observation line which is positioned in the target mountain slope and extends from top to bottom, acquiring a GIS module for acquiring slope surface slopes of all acquisition points on the observation line, acquiring a data acquisition period in which the target mountain slope is positioned when the landslide occurs and recording the data acquisition period as a period to be processed, and acquiring a surface slope sequence corresponding to all the acquisition points on the observation line in the period to be processed based on the GIS module; Acquiring fluctuation indexes corresponding to the first n acquisition points on the observation line according to the surface slope sequences corresponding to the first n acquisition points on the observation line, and marking the position of the acquisition point with the smallest fluctuation index corresponding to the first n acquisition points as a ridge line; acquiring absolute variables between adjacent surface slope data in a surface slope sequence of each acquisition point, acquiring the acquisition point corresponding to the surface slope sequence with the absolute variable exceeding a natural slope fluctuation threshold, taking the acquisition point as an initial trailing edge point, and selecting an initial trailing edge point with the highest elevation from a plurality of initial trailing edge points as a landslide trailing edge point; acquiring fluctuation indexes corresponding to the rear n acquisition points on the observation line according to the surface slope sequences corresponding to the rear n acquisition points on the observation line, and marking the position of the acquisition point with the smallest fluctuation index corresponding to the rear n acquisition points as a valley line; And acquiring space relative indexes according to the rear edge points, the ridge lines and the valley lines of the landslide, and generating a landslide space position statistical graph according to the space relative indexes corresponding to the multiple landslide.
2. The method for processing landslide spatial position data based on dynamic segmentation according to claim 1, wherein the step of obtaining the spatial relative index corresponding to the current landslide according to the landslide trailing edge point, the ridge line and the valley line comprises the steps of: acquiring a first distance from a landslide trailing edge point to a ridge line, and acquiring a second distance from the landslide trailing edge point to a valley line; adding the first distance and the second distance to obtain the total distance of the slope area of the target mountain; dividing the second distance by the total distance of the target mountain slope area and obtaining the space relative index.
3. The landslide spatial location data processing method based on dynamic segmentation of claim 2, wherein generating the landslide spatial location statistical map based on spatial relative indexes corresponding to multiple landslide comprises: Dividing the space between 0 and 1 into a plurality of uniform value ranges, and marking the value ranges which the space relative indexes corresponding to the landslide fall into so as to form a landslide space position statistical graph.
4. The method for processing landslide spatial position data based on dynamic segmentation of claim 1, wherein the acquiring absolute variables between adjacent surface slope data in the sequence of surface slopes of each acquisition point comprises: And obtaining the difference value of adjacent surface slope data in the surface slope sequence of the ith acquisition point, and obtaining an absolute value and an absolute variable from the difference value.
5. The method for processing landslide space position data based on dynamic segmentation according to any one of claims 1-4, wherein the step of obtaining the fluctuation index corresponding to each of the first n collection points on the observation line according to the surface slope sequence corresponding to each of the first n collection points on the observation line comprises: Defining the first n acquisition points on the observation line as front end acquisition points; Dividing each absolute variable in the surface slope sequence of the jth front-end acquisition point by the average value of the surface slope data in the surface slope sequence of the jth front-end acquisition point, and obtaining each fluctuation proportion in the surface slope sequence of the jth front-end acquisition point; and adding all fluctuation ratios in the surface slope sequence of the jth front-end acquisition point to obtain a fluctuation index corresponding to the jth front-end acquisition point.
6. The method for processing landslide space position data based on dynamic segmentation according to any one of claims 1-4, wherein the step of obtaining the fluctuation index corresponding to each of the last n acquisition points on the observation line according to the surface slope sequence corresponding to each of the last n acquisition points on the observation line comprises: Defining the rear n acquisition points on the observation line as rear end acquisition points; dividing each absolute variable in the surface slope sequence of the j-th rear end acquisition point by the average value of the surface slope data in the surface slope sequence of the j-th rear end acquisition point, and obtaining each fluctuation proportion in the surface slope sequence of the j-th rear end acquisition point; And adding all fluctuation ratios in the surface slope sequence of the jth rear end acquisition point to obtain a fluctuation index corresponding to the jth rear end acquisition point.
7. A landslide spatial location data processing system based on dynamic segmentation, characterized in that the system is adapted to implement a landslide spatial location data processing method based on dynamic segmentation as defined in any one of claims 1to 6, the system comprising: The acquisition module is used for acquiring a target mountain slope and an observation line which is positioned in the target mountain slope and extends from top to bottom, acquiring a GIS module for acquiring slope surface slopes of all acquisition points on the observation line, acquiring a data acquisition period in which the target mountain slope is positioned when the current landslide occurs and recording the data acquisition period as a period to be processed, and acquiring a surface slope sequence corresponding to all the acquisition points on the observation line in the period to be processed based on the GIS module; The first data processing module is used for acquiring fluctuation indexes corresponding to the first n acquisition points on the observation line according to the surface slope sequences corresponding to the first n acquisition points on the observation line, and marking the position of the acquisition point with the smallest fluctuation index corresponding to the first n acquisition points as a ridge line; the second data processing module is used for acquiring absolute variables between adjacent surface slope data in the surface slope sequence of each acquisition point, acquiring the acquisition point corresponding to the surface slope sequence with the absolute variable exceeding the natural slope fluctuation threshold, taking the acquisition point as an initial trailing edge point, and selecting the initial trailing edge point with the highest elevation from a plurality of initial trailing edge points as a landslide trailing edge point; The third data processing module is used for acquiring fluctuation indexes corresponding to the rear n acquisition points on the observation line according to the surface slope sequences corresponding to the rear n acquisition points on the observation line, and marking the position of the acquisition point with the smallest fluctuation index corresponding to the rear n acquisition points as a valley line; And the space statistics module is used for acquiring space relative indexes according to the rear edge points, the ridge lines and the valley lines of the landslide and generating a landslide space position statistical graph according to the space relative indexes corresponding to multiple landslide.
8. The dynamic segment-based landslide spatial location data processing system of claim 7 and wherein the spatial statistics module is further operable to: acquiring a first distance from a landslide trailing edge point to a ridge line, and acquiring a second distance from the landslide trailing edge point to a valley line; adding the first distance and the second distance to obtain the total distance of the slope area of the target mountain; dividing the second distance by the total distance of the target mountain slope area and obtaining the space relative index.
9. The dynamic segment-based landslide spatial location data processing system of claim 7 and wherein the spatial statistics module is further operable to: Dividing the space between 0 and 1 into a plurality of uniform value ranges, and marking the value ranges which the space relative indexes corresponding to the landslide fall into so as to form a landslide space position statistical graph.
10. The dynamic segment-based landslide spatial location data processing system of claim 7 and wherein the second data processing module is further operable to: And obtaining the difference value of adjacent surface slope data in the surface slope sequence of the ith acquisition point, and obtaining an absolute value and an absolute variable from the difference value.

Description

Landslide space position data processing method and system based on dynamic segmentation Technical Field The invention relates to the technical field of data processing, in particular to a landslide space position data processing method and system based on dynamic segmentation. Background In the landslide hazard monitoring and early warning field, accurately identifying spatial position features of landslide (such as ridge lines, landslide trailing edge points and valley lines) is a key for evaluating slope stability and landslide movement modes. The existing method often depends on fixed rules (such as directly selecting two places) or static threshold judgment, but the actual mountain slope terrain is complex and changeable, so that the following problems exist. Specifically, the local disturbance on the earth surface causes misjudgment of characteristic points, for example, a depression, a pond or a vegetation coverage area may exist at the front end of an observation line (such as near a starting point), the surface slope of the observation line fluctuates severely due to non-landslide factors (such as ponding erosion and plant root disturbance), if the point is directly used as a spatial position feature (such as a ridge line at the top of a slope), positioning misalignment is caused due to noise interference, and landslide scale analysis is further distorted. Meanwhile, the identification of the landslide trailing edge point is interfered by natural fluctuation and usually shows slope mutation, but natural weathering, superficial erosion and the like can also cause local slope fluctuation, and fluctuation caused by non-landslide deformation is easily misjudged as the trailing edge point only by relying on a single absolute threshold, so that the detection reliability is reduced. Finally, the non-uniform range of the characteristic points leads to statistical deviation, natural difference exists between actual positions of mountain ridges and mountain valleys in multiple landslide events, if an excessive dynamic segmentation range (such as excessive acquisition points before and after) is adopted, local interference can be avoided, but the position dispersion of the characteristic points of each landslide is excessive, regular statistics (such as analysis of sections in the centralized landslide) cannot be carried out under a uniform space reference, otherwise, the fixed end points guarantee position comparability, but the topographic interference noise cannot be avoided. Disclosure of Invention Aiming at the technical problems that a method for considering local interference resistance and space position comparability is lacked in the prior art, and a landslide space distribution statistical chart which can be used for transverse comparison is difficult to stably generate under the condition of complex terrain, the invention provides a landslide space position data processing method and system based on dynamic segmentation. A landslide space position data processing method based on dynamic segmentation comprises the steps of obtaining a target landslide and an observation line which is located in the target landslide and extends from top to bottom, obtaining a GIS module used for collecting slope surface slopes of all collection points on the observation line, obtaining a data collection period when the current landslide occurs on the target landslide, recording the data collection period as a period to be processed, obtaining a surface slope sequence corresponding to all collection points on the observation line in the period to be processed based on the GIS module, obtaining fluctuation indexes corresponding to the front n collection points on the observation line according to the surface slope sequences corresponding to the front n collection points on the observation line, recording the position of the collection point with the smallest fluctuation index corresponding to the front n collection points as a landslide line, obtaining the collection point corresponding to the surface slope sequence of the absolute variable exceeding a natural slope fluctuation threshold value, taking the collection point as an initial trailing edge point, selecting the highest initial trailing edge point from a plurality of initial trailing edge points and taking the initial trailing edge point as the initial trailing edge point, obtaining the slope corresponding to the slope, and obtaining the corresponding fluctuation indexes of the back edge corresponding to the slope line according to the slope of the back edge of the slope of the adjacent surface slope in the surface slope sequence of all collection points, and obtaining the corresponding to the slope points of the back of the slope line. Optionally, acquiring the spatial relative index corresponding to the landslide according to the landslide trailing edge point, the ridge line and the valley line comprises the steps of acquiring a first distance from the landsl