Development of Ground Subsidence Risk Assessment Model Using Analytic Hierarchy Process Method

Yu-Min Ji; Jung-Hwan Kim; Jae-Hwan Lee; Ho Choi

doi:10.7843/kgs.2024.40.6.57

All Issue

2024 Vol.40, Issue 6 Preview Page Next Page

Development of Ground Subsidence Risk Assessment Model Using Analytic Hierarchy Process Method AHP 기법 기반 지반침하 위험도 분석 모델 개발

31 December 2024. pp. 57-65

PDF XML

Abstract

Despite proactive risk management according to underground safety management plans and safety impact assessments, ground subsidence incidents and cavity occurrences continue in urban areas. As the need for management of subsidence risk in urban areas increases, this study assumes five major factors that influence ground subsidence based on the causes and types of the subsidence. Using the analytic hierarchy process method, the weights of these factors were calculated to develop a ground subsidence risk assessment model, which was then visualized as a grid map with 30 m × 30 m cells using geographic information system technology. The results of the analysis were classified into five risk grades, and the model’s accuracy was evaluated by comparing it with the historical ground subsidence and cavity occurrence data in Seoul. The model developed in this study is expected to serve as valuable preliminary data for the establishment of a ground subsidence monitoring network and planning cavity investigations.

Keywords

AHP(Analytic Hierarchy Process) method

GIS(Geographic Information System)

Ground subsidence

Risk assessment model

지하안전관리계획 및 지하안전평가를 통한 선제적인 지반침하 위험 관리에도 불구하고 도심지 지반침하 사고와 공동 발생은 지속되고 있다. 도심 내 지반침하 위험 관리의 필요성이 대두됨에 따라 본 연구에서는 지반침하 발생 원인 및 유형에 따른 5개의 주요 지반침하 영향 인자를 가정하였다. AHP(Analytic Hierarchy Process) 기법을 통해 인자간 가중치를 산정하여 지반침하 위험도 분석모델을 개발하고, 이를 GIS(Geographic Information System) 기반의 30m × 30m 격자 단위 지도로 작성하였다. 모델의 분석 결과를 5개의 위험 등급으로 분류하고, 서울시 내 지반침하 및 공동 발생 이력과 비교하여 그 정확도를 평가하였다. 본 연구에서 개발한 모델은 지반침하 관측망을 구성하거나 공동 탐사 계획 수립을 위한 사전적 자료로 유용하게 활용될 수 있을 것으로 기대된다.

References

ARCGIS (2024), https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-analyst/line-density.htm

Choi, C., Kim, J., Baek, S., and Kang, J. (2021), "A Study on the Optimization Algorithm for Correlation Analysis of the Underground Utility Structure Density in Urban Areas and Recorded Ground Subsidence", Journal of the Korean Geotechnical Society, Vol.37, No.10, pp.77-87.

Kim, K., Kim, J., Kwak, T-Y., and Chung, C-K. (2018), "Logistic Regression Model for Sinkhole Susceptibility due to Damaged Sewer Pipes", Natural Hazards, Vol.93, pp.765-785.

10.1007/s11069-018-3323-y

Kim, J., Kang, J., and Baek, S. (2021), "Development of Random Forest Model for Sewer-induced Sinkhole Susceptibility", Journal of the Korean Geotechnical Society, Vol.37, No.12, pp.117-125.

10.7843/kgs.2011.27.12.117

Kim, J. (2024), "Ground Subsidence Issues and Seoul's Response: Management Strategies Through Technology", 2024 Seoul Disaster and Safety Forum, Sharing Seoul's Disaster and Safety Management Achievements and Future Directions, Seoul, pp.9-10.

Ministry of Land, Infrastructure, Transport and Tourism (2021), Assessment of Sinkhole Risk Based on Road Structure and Cavity Characteristics, New Committee on Advanced Road Technology (CART), Report.

Seoul Institute (2018), A Study of the Improvement of Underground Water Leakage Utilization in Seoul, Final Report.

Seoul Institute (2022), Establishment of Seoul Metropolitan Government Underground Safety Management Plan (2023), Final Report.

Seoul Metropolitan Government (2023), Development of Underground Information Integrated Analysis System (Phase 1), Final Report.

Information

Publisher :The Korean Geotechnical Society
Publisher(Ko) :한국지반공학회
Journal Title :Journal of the Korean Geotechnical Society
Journal Title(Ko) :한국지반공학회 논문집
Volume : 40
No :6
Pages :57-65
Received Date : 2024-10-23
Revised Date : 2024-11-01
Accepted Date : 2024-11-04
DOI :https://doi.org/10.7843/kgs.2024.40.6.57

Journal of the Korean Geotechnical Society ISSN:1229-2427(Print) 2288-646X(Online) 한국지반공학회 논문집

All Issue