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Method for characterizing spatio-temporal evolution of ground settlement

A technology of land subsidence and time-space evolution, which is applied in the direction of radio wave reflection/re-radiation, measuring devices, instruments, etc., to save time and economic costs, and reduce errors

Active Publication Date: 2019-01-18
CAPITAL NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the future subsidence trend cannot be predicted by combining the subsidence time trend and the spatial gradient, and propose a method for characterizing the temporal and spatial evolution of land subsidence, which effectively solves the problem that the combination of the subsidence time trend and the spatial gradient cannot be predicted. The question of future subsidence trends

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  • Method for characterizing spatio-temporal evolution of ground settlement
  • Method for characterizing spatio-temporal evolution of ground settlement
  • Method for characterizing spatio-temporal evolution of ground settlement

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Embodiment 1

[0050] A method for characterizing the spatiotemporal evolution of land subsidence comprising the following steps:

[0051] S1. Obtain the long-time sequence synthetic aperture radar observation image data covering the study area, assuming that the image acquisition time is t 0 ,t 1 ,...t n , using the permanent scatterer synthetic aperture radar interferometry (PS-InSAR) method to obtain the deformation information of each PS point on the surface, and to calibrate and verify the accuracy of the deformation data through on-site GPS and benchmark data to obtain high-precision stable PS points Vertical deformation database, which includes the annual mean settlement rate for each PS point v and the cumulative sedimentation of the observation time S 0 ,S 1 ,...S n ;

[0052] S2. Calculate the time trend and spatial gradient of regional land subsidence, and use the annual average subsidence rate for the time trend of PS point subsidence v To represent, using the Krigin...

Embodiment 2

[0080] In this program, the Radarsat-2 radar remote sensing images from 2010 to 2014 are processed by Sarproz software, and the accuracy of InSAR data results is verified by benchmarking point data to obtain high-precision land subsidence information. Taking the main subsidence funnel in Beijing as the research area, using the monitoring method to obtain the moving speed and direction of the land subsidence contour, and analyzing the temporal and spatial evolution of the land subsidence in the Beijing subsidence funnel area from 2011 to 2014. The main steps are as follows:

[0081] Step 1: Process the 39 scenes of Radarsat-2 data covering the Beijing plain area from 2011 to 2014 with Sarproz data processing software to obtain the land subsidence information in the Beijing plain area from 2011 to 2014, and use the monitoring data of six benchmarks in the study area Verify the accuracy of InSAR data results to obtain high-precision land subsidence information.

[0082] Step 2: ...

Embodiment 3

[0086] S1. Obtain the long-time sequence synthetic aperture radar observation image data covering the study area, assuming that the image acquisition time is t 0 ,t 1 ,...t n . Use the permanent scatterer synthetic aperture radar interferometry (PS-InSAR) method to obtain the deformation information of each PS point on the surface, and calibrate and verify the accuracy of the deformation data through on-site GPS and benchmark data to obtain high-precision vertical data of stable PS points. to the deformation database, which includes the annual mean settlement rate for each PS point v and the cumulative sedimentation of the observation time S 0 ,S 1 ,...S n .

[0087] S2. Calculate the time trend and spatial gradient of regional land subsidence. The average annual settlement rate is used for the settlement time trend of PS point v To represent, using the Kriging spatial interpolation method to obtain the regional spatial continuous mean annual subsidence rate rast...

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Abstract

The invention discloses a method for characterizing spatio-temporal evolution of ground settlement, and belongs to the field of geological disasters. According to the method for characterizing the spatio-temporal evolution of the ground settlement, radar image data is involved; the spatio-temporal evolution of the ground settlement of a region is quantified, so that the change of the ground settlement rate of each ground pixel can be mastered, and the development trend and direction of historical ground settlement can be showed; and therefore, a basis is provided for urban disaster preventionand urban planning, a specific method for solving a ground settlement disaster is looked for, and the time and the economic cost are saved for urban disaster prevention and control.

Description

technical field [0001] The invention relates to the field of geological disasters, in particular to a method for characterizing the temporal and spatial evolution of land subsidence. Background technique [0002] Land subsidence refers to the phenomenon that in the process of economic development, human beings develop a large amount of underground resources, which makes the underground loose strata consolidate and compress, and finally leads to the phenomenon of local surface subsidence. Land subsidence is a slow-changing geological hazard, and its development process is relatively slow. However, land subsidence will cause serious damage to the natural environment and affect people's life and production. Long-term monitoring of land subsidence is carried out, and the evolution law of land subsidence is analyzed accordingly. [0003] At present, PS-InSAR technology has been widely used in the monitoring of regional land subsidence. In order to describe the evolution law of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C5/00G01S13/90
CPCG01C5/00G01S13/90G01S13/9023
Inventor 吕明苑柯樱海李小娟宫辉力
Owner CAPITAL NORMAL UNIVERSITY
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