• Analysis of Land Subsidence Risk Factors Considering Hydrological Properties, Geomorphological Parameters, and Population Distribution
  • Ye-Yeong Lee1·Dahae Lee2·Eun-Ji Bae3·Chung-Mo Lee4·Hanna Choi5*

  • 1Department of Geography, Kyung Hee University
    2Department of Earth Resources and Environmental Engineering, Hanyang University
    3School of Earth System Science, Kyungpook National University
    4Department of Geological Sciences, Pusan National University
    5Korea Institute of Geoscience and Mineral Resources

  • 수문 및 지형특성과 인구분포를 고려한 지반침하 발생 평가인자 분석
  • 이예영1·이다해2·배은지3·이충모4·최한나5*

  • 1경희대학교 지리학과
    2한양대학교 자원환경공학과
    3경북대학교 지구시스템과학부
    4부산대학교 지질환경과학과
    5한국지질자원연구원 기후변화대응연구본부

  • This article is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


To assess land subsidence estimation and preparedness in the Geum River basin, this study applied GIS techniques and identified six key areas. The Geum River basin has experienced an increase in heavy rainfall since late 2010, and four study areas have shown an increase in groundwater levels. Land subsidence primarily occurred from June to September, with higher rainfall years in 2020 and 2023. Approximately 83.6% of land subsidence in Chungcheongbuk-do province occurred in Cheongju-si, mainly attributed to aging sewage pipes. The regions experiencing population growth have likely led to the construction of underground infrastructures and sewer pipes. Thus, it is considered that various factors, including sewage pipe leaks, precipitation, slope gradient, low drainage density, and groundwater level fluctuations, have contributed to land subsidence. Improving land subsidence estimation involves incorporating additional natural factors and human activities.

Keywords: Land subsidence, Aging sewage pipes, Groundwater level, Precipitation event, Slope gradient, Drainage density, Population density

This Article

  • 2023; 28(6): 45-57

    Published on Dec 31, 2023

  • 10.7857/JSGE.2023.28.6.045
  • Received on Oct 24, 2023
  • Revised on Nov 12, 2023
  • Accepted on Nov 27, 2023

Correspondence to

  • Hanna Choi
  • Korea Institute of Geoscience and Mineral Resources

  • E-mail: pythagoras84@kigam.re.kr