Quantitative study on spatial distribution characteristics of diseases in shield tunnel of urban rail transit

doi:10.13474/j.cnki.11-2246.2022.0256

Abstract

Abstract: With the continuous construction and operation of subways, China is gradually entering the subway operation and maintenance period, and subway disease detection and operation and maintenance have gradually attracted people's attention. With the increase of subway operation years, the disease also shows an aggravating trend. Obtaining comprehensive information on tunnel diseases through 3D laser scanning technology, and using spatial autocorrelation to analyze the geospatial distribution characteristics of subway tunnel diseases is of great significance for understanding the mechanism of disease formation and disease prevention. Based on the horizontal convergence data obtained by 3D laser scanning of a subway tunnel, the spatial autocorrelation analysis method is used to quantitatively analyze the distribution characteristics of the disease in geographic space, and the relationship with the surrounding hydrogeological environment is analyzed. The results show that the geospatial distribution of tunnel diseases presents a significant positive spatial correlation and spatial agglomeration characteristics, and the serious disease area is closely related to the hydrogeological environment around the tunnel. This paper provides an effective basis for studying the characteristics of the geospatial distribution of tunnel diseases, understanding the law of disease distribution and later disease management.

Key words: 3D laser scanning, tunnel disease, spatial autocorrelation, agglomeration

CLC Number:

P237

WANG Ning, REN Chuanbin, JIANG Weiling. Quantitative study on spatial distribution characteristics of diseases in shield tunnel of urban rail transit[J]. Bulletin of Surveying and Mapping, 2022, 0(9): 12-17.

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