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http://dx.doi.org/10.7780/kjrs.2022.38.6.1.29

Observation of Volume Change and Subsidence at a Coal Waste Dump in Jangseong-dong, Taebaek-si, Gangwon-do by Using Digital Elevation Models and PSInSAR Technique  

Choi, Euncheol (Department of Geophysics, Kangwon National University)
Moon, Jihyun (Department of Geophysics, Kangwon National University)
Kang, Taemin (Inter-Korea Resources Team, Korea Mine Rehabilitation and Mineral Resources Corporation)
Lee, Hoonyol (Department of Geophysics, Kangwon National University)
Publication Information
Korean Journal of Remote Sensing / v.38, no.6_1, 2022 , pp. 1371-1383 More about this Journal
Abstract
In this study, the amount of coal waste dump was calculated using six Digital Elevation Models (DEMs) produced between 2006 and 2018 in Jangseong-dong, Taebaek-si, Gangwon-do, and the subsidence was observed by applying the Persistent Scatterer Interferometric SAR (PSInSAR) technique on the Sentinel-1 SAR images. As a result of depositing activities using DEMs, a total of 1,668,980 m3 of coal waste was deposited over a period of about 12 years from 2006 to 2018. The observed subsidence rate from PSInSAR was -32.3 mm/yr and -40.2 mm/yr from the ascending and descending orbits, respectively. As the thickness of the waste pile increased, the rate of subsidence increased, and the more recent the completion of the deposit, the faster the subsidence tended to occur. The subsidence rates from the ascending and descending orbits were converted to vertical and horizontal east-west components, and 22 random reference points were set to compare the subsidence rate, the waste rock thickness, and the time of depositing completion. As a result, the subsidence rate of the reference point tended to increase as the thickness of the waste became thicker, similar to the PSInSAR results in relation to the waste thickness. On the other hand, there was no clear correlation between the completion time of the deposits and the rate Of subsidence at the reference points. This is because the time of completion of the deposits at all but 5 of the 22 reference points was too biased in 2010 and the correlation analysis was meaningless. As in this study, the use of DEM and PSInSAR is expected to be an effective alternative to compensate for the lack of field data in the safety management of coal waste deposits.
Keywords
PSInSAR; Sentinel-1 SAR; Coal waste dump; Subsidence; Stability analysis;
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