Journal of the Korean GEO-environmental Society (한국지반환경공학회 논문집)

Korean Geo-Environmental Society (한국지반환경공학회)
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Analysis of Ground Subsidence Influencing Factors Using Underground Facility Property Information

지하매설물 속성정보를 활용한 지반함몰 영향인자 분석

  • Jaemo Kang (Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Sungyeol Lee (Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Jinyoung Kim (Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Myeongsik Kong (Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology)
  • Received : 2023.11.07
  • Accepted : 2023.12.21
  • Published : 2024.01.01
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Abstract

Ground subsidence mainly occurs in urban areas with high population density, so it is necessary to clearly identify the cause of occurrence and prepare in advance. The main cause of ground subsidence is reported to be the creation of cavities in the ground due to damage to underground pipes, but the property information and influencing factors of underground pipes to predict and prepare for ground subsidence are not properly established. Therefore, in this study, factors showing a significant correlation with the occurrence of ground subsidence were selected among the underground facility property information and a regression equation was proposed through logistic regression analysis. For this purpose, data on underground structures and ground subsidence history information in the target area were collected, and the target area was divided into girds of 100m x 100m in size using QGIS. The underground facility attribute information and ground subsidence history information contained within the gird were extracted. Then, preprocessing was performed to construct a dataset and correlation analysis was performed. As a result, factors excluding the year of sewer pipes and communication pipes and the average depth of communication pipes, heat pipes, and gas pipes were found to have a significant correlation with ground subsidence. In addition, a regression equation for whether ground subsidence occurred in the target area is proposed through logistic regression analysis.

지반함몰은 인구 밀집도가 높은 도심지에서 주로 발생함으로, 발생 원인을 명확히 파악하여 사전에 대비할 필요가 있다. 지반함몰의 주요 발생원인은 지하매설관의 손상으로 인한 지반 내 공동 생성으로 보고되어 있으나, 지반함몰 발생을 예측하여 대비하기 위한 지하매설관의 속성정보 및 영향인자가 올바르게 구축되어 있지 않은 실정이다. 따라서 본 연구에서는 지하매설물 속성정보 중 지반함몰 발생과 유의미한 상관성을 나타내는 인자를 선정하고, 로지스틱 회귀분석을 통해 회귀식을 제안하였다. 이를 위해, 대상지역의 지하매설물 및 지반함몰 이력정보의 데이터를 수집하였고, 대상지역을 QGIS를 활용하여 100m×100m 크기의 Gird로 구분하였다. Gird 내부에 포함되어 있는 지하매설물 속성정보와 지반함몰 이력정보를 추출하여 전처리를 수행하고 데이터셋을 구축하여 상관분석을 수행하였다. 그 결과, 하수관과 통신관의 매설년도와 통신관, 열배관, 가스관의 평균심도를 제외한 인자가 지반함몰과 유의미한 상관성을 보이는 것으로 나타났다. 또한, 로지스틱 회귀분석을 통해 대상지역의 지반함몰 발생 여부 회귀식을 제안하였다.

Keywords

Acknowledgement

본 연구는 과학기술정보통신부 한국건설기술연구원 연구운영비지원(주요사업) 사업으로 수행되었습니다(지하 공간 정보 정확도 개선 및 매설관 안전관리 기술개발(5/5).

References

  1. Kaddoura and Zayed (2017), Void erosion prediction model for sewer pipelines, International Congress on Underground Infrastructure, Water Management and Trenchless Technology, pp. 114~127.
  2. Kim, J. Y., Kang, J. M. and Choi, C. H. (2021), Correlation analysis of the occurrence of ground subsidence according to the density of underground pipelines, Journal of the Korean Geo-Environmental Society, Vol. 22, No. 11, pp. 23~29 (In Korean).
  3. Kim, J. Y., Kang, J. M., Choi, C. H. and Park D. H. (2017), Correlation analysis of sewer integrity and ground subsidence, Journal of the Korean Geo-Environmental Society, Vol. 18, No. 6, pp. 31~37 (In Korean). https://doi.org/10.14481/jkges.2017.18.1.31
  4. Kim, K. Y. (2018), Susceptibility Model for Sinkholes Caused by Damaged Sewer Pipes Based on Logistic Regression, Master's thesis, Seoul National University.
  5. Kuwano, R., Horii, T., Kohashi, H. and Yamauchi, K. (2006), Defects of sewer pipes causing cave-in's in the road. In Proceedings of the 5th International Symposium on New Technologies for Urban Safety of Mega Cities in Asia, Phuket, Thailand, 16-17 November, pp. 347~353.
  6. Lee, S. Y., Kim, J. Y., K., J. M. and Baek, W. J. (2022), Comparison of machine learning models to predict the occurrence of ground subsidence according to the characteristics of sewer, Journal of Korean Geo-Environmental Society, Vol. 23, Issue. 4, pp. 5~10.
  7. Meguid and Dang (2009), The effect of erosion voids on existing tunnel linings, Tunnelling and Underground Space Technology, Vol.24, Issue. 3, pp.278~286. https://doi.org/10.1016/j.tust.2008.09.002
  8. Mukunoki, T., Kuwano, N., Otani, J. and Kuwano, R. (2009), Visualization of three dimensional failure in sand due to water inflow and soil drainage from defected underground pipe using X-ray CT, Soils Found., Vol. 49, pp. 959~968. https://doi.org/10.3208/sandf.49.959
  9. Pearson, K. (1895), Note on regression and inheritance in the case of two parents, Proceedings of the Royal Society of London, Vol. 58, No. 347, pp. 240~242. https://doi.org/10.1098/rspl.1895.0041
  10. Pearson, K. (1901), On lines and planes of closest fit to systems of points in space, Philosophical Magazine, Vol. 2, No. 11, pp. 559~572.
  11. Renuka, S. and Kuwano, R. (2011), Formation and evaluation of loosened ground above a cavity by laboratory model test with uniform sand, Proc. of 13th International Summer Symposium, Uji, Japan, pp. 211~214.
  12. Sato, M. and Kuwano, R. (2010), Model tests for the evaluation of formation and expansion of a cavity in the ground, Proc. of 7th International Conference on Physical Modelling in Geotechnics, pp. 581~586.
  13. Sandro, S. (2013), Understanding logistic regression analysis, Biochemia Medica, Vol. 24, No. 1, pp. 12~18.
  14. Tohda, J. and Hachiya, M. (2005), Response and design of buried pipelines subjected to differential ground settlement, Proceedings of the 16th International Conference on Soila Mechanics and Geotechnical Engineering, pp. 1659~1662.
  15. Toni, R. and Roeland, V. H. (2015), The t test and beyond: Recommendations for testing the central tendencies of two independent samples in research on speech, language and hearing pathology, Journal of Communication Disorders, Vol. 58, pp. 158~168. https://doi.org/10.1016/j.jcomdis.2015.08.002