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http://dx.doi.org/10.7843/kgs.2022.38.9.69

A Study of Ground Subsidence Risk Grade Analysis Based on Correlation Between the Underground Utility Structure Density and Recorded Ground Subsidence  

Choi, Changho (Korea Institute of Civil Engr. and Building Tech.)
Kim, Jin-Young (Korea Institute of Civil Engr. and Building Tech.)
Baek, Sung-Ha (Korea Institute of Civil Engr. and Building Tech.)
Publication Information
Journal of the Korean Geotechnical Society / v.38, no.9, 2022 , pp. 69-77 More about this Journal
Abstract
Several studies have been conducted to analyze the risk of ground subsidence occurring in urban areas. Recently, the correlation between the density of underground utilities (i.e., the quantity of buried utilities in the analysis area) and the recorded ground subsidence has been explored to analyze such risk through. Choi et al. (2021) proposed an algorithm to optimize the correlation between the ground subsidence and normalized linear density of underground pipelines. In this study, the optimization algorithm was modified for analysis based on the risk grade. The analysis results using the modified optimization algorithm were compared with the correlation analysis results between the density of underground utilities and recorded ground subsidence presented by Choi et al. (2021). Compared with Choi et al. (2021), three analysis results showed equal or higher accuracy in the correlation analysis with recorded ground subsidence according to risk grade. In particular, for R100, it was divided into five grades and compared with the ratio of the recorded ground subsidence that occurred in grades 4 or higher. As a result, Choi et al. (2021) showed that 86% of recorded ground subsidence occurred in grades 4 or higher, whereas this study showed 93%. It was confirmed that the accuracy of the modified optimization algorithm was improved. The modified optimization algorithm can be applied to develop a ground subsidence risk map for each grade in an urban area, which can be used as basic data for decision-making for underground utility maintenance.
Keywords
Ground subsidence; Optimization; Risk grade; Sinkhole; Utility pipeline density;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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