Sensitivity analysis for the GIS-based mapping of the ground subsidence hazard near abandoned underground coal mines SCIE SCOPUS

Cited 34 time in WEB OF SCIENCE Cited 38 time in Scopus
Title
Sensitivity analysis for the GIS-based mapping of the ground subsidence hazard near abandoned underground coal mines
Author(s)
Oh, Hyun-Joo; Ahn, Seung-Chan; Choi, Jong-Kuk; Lee, Saro
KIOST Author(s)
Choi, Jong Kuk(최종국)
Publication Year
2011-09
Abstract
Ground subsidence around abandoned underground coal mines can cause much loss of life and property. We analyze factors that can affect ground subsidence around abandoned mines in Jeongahm in Kangwon-do by sensitivity analysis in geographic information system (GIS). Spatial data for the subsidence area, topography and geology and various ground engineering data were collected and used to make a factor raster database for a ground subsidence hazard map. To determine the importance of extracted subsidence-related factors, frequency ratio model and sensitivity analysis were employed. Sensitivity analysis is a method for comparing the combined effects of all factors except one. Sensitivity analysis and its verification showed that using all factors provided 91.61% accuracy. The best accuracy was achieved by not considering the groundwater depth (92.77%) and the worst by not considering the lineament (85.42%). The results show that the distance from the lineament and the distance from the drift highly affected the occurrence of ground subsidence, and the groundwater depth, land use and rock mass rating had the least effects. Thus, we determined causes of ground subsidence in the study area and this information could help in the prediction of ground subsidence in other areas.
ISSN
1866-6280
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/3824
DOI
10.1007/s12665-010-0855-1
Bibliographic Citation
ENVIRONMENTAL EARTH SCIENCES, v.64, no.2, pp.347 - 358, 2011
Publisher
SPRINGER
Subject
PROBABILISTIC LANDSLIDE SUSCEPTIBILITY; PREDICTION; PROVINCE; MODEL
Keywords
GIS; Abandoned underground coal mine; Ground subsidence; Frequency ratio; Sensitivity analysis; Korea
Type
Article
Language
English
Document Type
Article
Publisher
SPRINGER
Related Researcher
Research Interests

GOCI-based PAR,Satellite-based Water Quality,Ocean color based Ecological Environment,GOCI 기반 PAR,위성활용 해수표층 수질,해색위성 기반 해수 생태환경

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