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Article

Subsidence of a Coal Ash Landfill in a Power Plant Observed by Applying PSInSAR to Sentinel-1 SAR Data

Department of Geophysics, Kangwon National University, Chuncheon 24341, Republic of Korea
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Author to whom correspondence should be addressed.
Remote Sens. 2023, 15(17), 4127; https://doi.org/10.3390/rs15174127
Submission received: 27 July 2023 / Revised: 20 August 2023 / Accepted: 21 August 2023 / Published: 23 August 2023

Abstract

We analyzed ground subsidence at the coal ash disposal sites of Stanton Energy Center, a power plant located in Orlando, Florida, USA, by applying 157 Sentinel-1 SAR images obtained between May 2017 and December 2022 in ascending orbit to the PSInSAR technique. A LiDAR DEM with 1 m posting was used for the DInSAR and StaMPS processing for PSInSAR. The results showed significant ground subsidence on the area where solar panels were installed on top of the coal ash landfill. The coal ash landfill was divided into three sites (A, B, and C) according to the landfill sequence. The spatially averaged PSInSAR showed subsidence rates of 7.3 mm/year, 6.2 mm/year, and 8.8 mm/year in sites A, B, and C, respectively. In particular, relatively newly deposited sites A and B showed a decreasing trend in subsidence rate with higher quadratic components in regression function, indicating a stabilization of the subsidence. On the other hand, the oldest site C exhibited the highest (and a relatively constant) subsidence rate, suggesting that the settlement occurred earlier and is now at a constant rate. It is also suspected that new dumping activity near C might have caused a higher subsidence rate than in sites A and B. No subsidence occurred at other solar panel installations on the ground outside the landfill, suggesting that the subsidence was caused by the gravitational compaction of the landfill materials rather than by the instability of the solar facilities. Comparison of PSInSAR results with lower resolution DEMs, such as SRTM and Copernicus DEM, showed range errors of the PS positions proportional to the height deviation from LiDAR DEM, highlighting the importance of accurate DEMs for the time-series analysis of SAR data.
Keywords: PSInSAR; landfill; subsidence; Sentinel-1; DEM PSInSAR; landfill; subsidence; Sentinel-1; DEM

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MDPI and ACS Style

Shin, Y.; Lee, H. Subsidence of a Coal Ash Landfill in a Power Plant Observed by Applying PSInSAR to Sentinel-1 SAR Data. Remote Sens. 2023, 15, 4127. https://doi.org/10.3390/rs15174127

AMA Style

Shin Y, Lee H. Subsidence of a Coal Ash Landfill in a Power Plant Observed by Applying PSInSAR to Sentinel-1 SAR Data. Remote Sensing. 2023; 15(17):4127. https://doi.org/10.3390/rs15174127

Chicago/Turabian Style

Shin, Youngnam, and Hoonyol Lee. 2023. "Subsidence of a Coal Ash Landfill in a Power Plant Observed by Applying PSInSAR to Sentinel-1 SAR Data" Remote Sensing 15, no. 17: 4127. https://doi.org/10.3390/rs15174127

APA Style

Shin, Y., & Lee, H. (2023). Subsidence of a Coal Ash Landfill in a Power Plant Observed by Applying PSInSAR to Sentinel-1 SAR Data. Remote Sensing, 15(17), 4127. https://doi.org/10.3390/rs15174127

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