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Land subsidence partitioning method based on multivariate influence factors

A technology of land subsidence and impact factors, applied in geographic information databases, structured data retrieval, instruments, etc., can solve problems such as poor flexibility and applicability, and cumbersome data collection

Active Publication Date: 2019-10-22
SHAOXING UNIVERSITY +1
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Problems solved by technology

[0004] In order to overcome the deficiencies of poor flexibility and applicability and cumbersome data collection of existing land subsidence assessment and prediction methods, the present invention provides a land subsidence method based on multiple influencing factors with good flexibility and applicability and easy data collection. Zoning method, simple and effective subdivision prediction subdivision for a certain area

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  • Land subsidence partitioning method based on multivariate influence factors
  • Land subsidence partitioning method based on multivariate influence factors
  • Land subsidence partitioning method based on multivariate influence factors

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings.

[0033] refer to Figure 1 ~ Figure 3 , a land subsidence zoning method based on multiple influencing factors, including the following steps:

[0034] Step 1. Extraction of land subsidence influencing factors

[0035] The occurrence of land subsidence is controlled by many factors. According to previous research data, six parameters are selected as the lithology of the formation, the distance from the fault, the thickness of the soft soil layer, the amplitude of the groundwater level, the degree of human engineering construction, and the degree of underground resource exploitation. Influencing factor of settlement;

[0036] Step 2. Establishment of database and logistic regression model

[0037] After sorting out and storing the land subsidence influencing factor data, on the basis of collecting the required data, use ArcGIS software to rasterize the data layer, and ...

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Abstract

The invention discloses a land subsidence zoning method based on multivariate influence factors. The method comprises: using a nonlinear logistic regression model as a ground subsidence sensitivity evaluation model of a research area; using arcGIS and SPSS software, selecting six parameters of stratum lithology, distance from a fault, soft soil layer thickness, underground water level amplitude variation, human engineering construction degree and underground resource exploitation degree as influence factors influencing ground subsidence; and processing each factor according to the contribution rate to obtain a logistic regression coefficient value of the influence factor, obtaining a land subsidence sensitivity partition probability of each unit of the research area according to a logistic regression model, and then obtaining a land subsidence sensitivity partition map of the research area. The method is good in flexibility and applicability and simple in data collection.

Description

technical field [0001] The invention relates to a land subsidence method for dividing the land subsidence in a research area in combination with different multivariate influencing factors. Background technique [0002] Land subsidence is an important type of geological disaster. It is a geological environmental phenomenon that causes the regional surface elevation to drop due to the compression of the crust and surface soil due to natural factors and human factors. It is a kind of social and economic development and Geological disasters that threaten people's lives. At present, more than 50 countries and regions have experienced land subsidence on the earth, causing varying degrees of damage to the living environment and loss of life and property. [0003] Scholars at home and abroad have done a lot of research work on disaster assessment and prediction for land subsidence geological hazards. Including hierarchical sum method, finite element, finite difference and other nu...

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Application Information

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IPC IPC(8): G06F17/50G06F16/29
CPCG06F16/29G06F30/20
Inventor 黄曼魏阳刘佳伟黄永亮李长宏张飞李先昀袁夏炜
Owner SHAOXING UNIVERSITY