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A Study on the Determination of Indicators for the Risk Assessment of Ground Depression Using SAR Imageson

SAR 영상을 활용한 지반침하의 위험평가를 위한 지표결정에 대한 연구

  • Lee, Hyojin (School of Civil, Architectural Engineering, SUNGKYUNWAN University) ;
  • Yoon, Hongsic (School of Civil, Architectural Engineering, and Landscape Architecture, SUNGKYUNWAN University) ;
  • Han, Hak (Interdisciplinary Program in Crisis Disaster and Risk Management, SUNGKYUNWAN University)
  • Received : 2021.06.08
  • Accepted : 2021.06.28
  • Published : 2021.07.01

Abstract

The problem of subsidence of the roadbed near the Honam High Speed Railway, which opened in April 2015, continues to be raised, and the ground stability of the area near the Honam High Speed Railway may also be problematic. It is very important to select the factors that determine the indicators and indicators in producing the risk maps. Existing risk indicators are calculated as the final displacement volume based on the last observed date of the observed period, and time-series indicator displacement must be identified to analyze the cause of subsidence and the behavior of the indicator. Furthermore, for a wide range of regions, it is economically inefficient to conduct direct level measurements, so we wanted to observe surface displacement using SAR images. In this paper, time series indicator displacement was observed using PS-InSAR techniques, and risk was compared by rating each factor using the difference between final indicator displacement, cumulative indicator displacement, minimum displacement and maximum displacement as factors for determining risk indicators. As a result, the risk rating of the final displacement is different from that of each factor, and we propose adding factors from different perspectives in determining risk indicators. It is expected to be an important study in finding the cause of ground subsidence and finding solutions.

2015년 4월 개통한 호남고속철도 근처 노반의 침하 문제가 지속적으로 제기되고 있으며 이에 따라 호남고속철도 인근지역의 지반 안정성 또한 문제가 있을 수 있다. 위험지도를 제작하는데 있어서 지표 및 지표를 결정하는 인자를 선정하는 것은 매우 중요하다. 기존의 위험지표는 관측된 기간 중 가장 마지막 관측날을 기준으로한 최종 변위량으로 산정하는데 침하 원인과 지표의 거동을 분석하기 위해서는 시계열적인 지표변위를 확인해야한다. 또한 광범위한 지역의 경우 직접 수준측량을 실시하기에 경제적으로 비효율적이므로 SAR 영상을 이용해 지표변위를 관측하고자 하였다. 본 논문에서는 PS-InSAR기법을 이용해 시계열 지표변위를 관측하였으며 위험지표를 결정하기 위한 인자로 최종지표변위량, 누적지표변위량, 최소변위량과 최대변위량의 차를 이용해 각 인자로 위험도를 등급화하여 비교하였다. 그 결과 최종변위량의 위험도 등급과 각 인자 간 위험도 등급이 상이하였으며 위험지표를 결정하는데 있어 다양한 관점의 인자를 추가하는 것을 제안하였다. 이는 지반침하의 원인을 찾고 해결방안을 모색하는데 있어 중요한 연구가 될 것으로 기대한다.

Keywords

Acknowledgement

본 연구는 행정안전부 극한재난대응기반기술개발 사업 (과제번호: 2020-MOIS31-014)의 연구비 지원에 의해 수행되었습니다.

References

  1. Cho, M. J., Zhang, L. and Lee, C. W. (2013), Monitoring of volcanic activity of augustine volcano, Alaska Using TCPInSAR and SBAS time-series techniques for measuring surface deformation, Korean Journal of Remote Sensing, Vol. 29, No. 1, pp. 21~34. https://doi.org/10.7780/kjrs.2013.29.1.3
  2. Ferretti, A., Prati, C. and Rocca, F. (1999), Multibaseline InSAR DEM reconstruction: The wavelet approach, IEEE Transactions on geoscience and remote sensing. Vol. 37, No. 2, pp. 705~715. https://doi.org/10.1109/36.752187
  3. Kim, Y. H., Eum, K. Y., Han, S. J., Park, Y. G. and Jung, J. H. (2015), A study on settlement characteristics of earthwork subgrade with lowering the groundwater in highspeed railway, Journal of the Korean Geotechnical Society, Vol. 31, No. 5, pp. 67~74. https://doi.org/10.7843/kgs.2015.31.5.67
  4. Lee, H. J., Choi, Y. T., Lee, I. H., Lee, M. S. and Lee, T. G. (2017), Investigation of settlement of concrete track on high-speed railway due to groundwater variation, Journal of the Korean Society for Railway, Vol. 20, No. 2, pp. 248~256. https://doi.org/10.7782/JKSR.2017.20.2.248
  5. Meisina, C., Zucca, F., Notti, D., Colombo, A., Cucchi, A., Savio, G., Giannico, C. and Bianchi, M. (2008), Geological interpretation of PSInSAR data at regional scale, Sensors, Vol. 8, No. 11, pp. 7469~7492. https://doi.org/10.3390/s8117469
  6. Perissin, D. and Wang, T. (2010), Time-series InSAR applications over urban areas in China, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 4, No. 1, pp. 92~100. https://doi.org/10.1109/JSTARS.2010.2046883
  7. Rosi, A., Tofani, V., Tanteri, L., Stefanelli, C. T., Agostini, A., Catani, F., and Casagli, N. (2018), The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: geomorphological features and landslide distribution, Landslides, Vol. 15, No. 1, pp. 5~19. https://doi.org/10.1007/s10346-017-0861-4
  8. Yun, S. H., Lee, J. H. and Chang, C. W. (2013), A study on the change of magma activity from 2002 to 2009 at Mt. Baekdusan using surface displacement, Journal of the Korean earth science society, Vol. 34, No. 6, pp. 470~478. https://doi.org/10.5467/JKESS.2013.34.6.470
  9. Yang, K., Yan, L., Huang, G., Chen, C. and Wu, Z. (2016), Monitoring building deformation with InSAR: experiments and validation, Sensors, Vol. 16, No. 12, 2182. https://doi.org/10.3390/s16122182
  10. Youm, M. K. (2019), Analysis of surface displacement and GIS based risk assessment in wide area using high resolution SAR images, Ph. D. dissertation, SungKyunKwan University, pp. 77~85.