scholarly journals Advanced analysis of satellite data reveals ground deformation precursors to the Brumadinho Tailings Dam collapse

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Stephen Grebby ◽  
Andrew Sowter ◽  
Jon Gluyas ◽  
David Toll ◽  
David Gee ◽  
...  
Keyword(s):  
Iron Ore ◽  
Ground Deformation ◽  
Synthetic Aperture ◽  
Environmental Damage ◽  
Interferometric Synthetic Aperture Radar ◽  
Tailings Dam ◽  
Consolidation Settlement ◽  
Small Baseline Subset ◽  
Advanced Analysis ◽  
Small Baseline

AbstractCatastrophic failure of a tailings dam at an iron ore mine complex in Brumadinho, Brazil, on 25th January 2019 released 11.7 million m3 of tailings downstream. Although reportedly monitored using an array of geotechnical techniques, the collapse occurred without any apparent warning. It claimed more than 200 lives and caused considerable environmental damage. Here we present the Intermittent Small Baseline Subset (ISBAS) technique on satellite-based interferometric synthetic aperture radar (InSAR) data to assess the course of events. We find that parts of the dam wall and tailings were experiencing deformation not consistent with consolidation settlement preceding the collapse. Furthermore, we show that the timing of the dam collapse would have been foreseeable based on this observed precursory deformation. We conclude that satellite-based monitoring techniques may help mitigate similar catastrophes in the future.

scholarly journals Feasibility of Artificial Slope Hazards Identification in Regional Mountainous Highway Using SBAS-InSAR Technique: A Case Study in Lishui, Zhejiang

2021 ◽  
Vol 11 (19) ◽  
pp. 8962
Author(s):  
Zhi Hu ◽  
Danqiang Xiao ◽  
Wei Zhan ◽  
Yang Yu ◽  
Yiqiang Yu ◽  
...  
Keyword(s):  
Ground Deformation ◽  
Low Cost ◽  
Hazard Identification ◽  
Interferometric Synthetic Aperture Radar ◽  
Large Area ◽  
Small Baseline Subset ◽  
Small Baseline ◽  
Sbas Insar ◽  
Safe Condition

Safety status of artificial slopes is significant for the operation and maintenance of highway to mitigate the risk; thus, slope hazard identification is necessary. In order to realize large-area and low-cost application for regional highway, taking the Longqing Highway (length of 55 km) as a case study, the SBAS-InSAR (Small Baseline Subset-Interferometric Synthetic Aperture Radar) technique is adopted to detect the ground deformation and conduct hazard identification based on slope dip, aspect, geological data and historical hazard record. Field survey is carried out to verify the identified potential hazards. Results show that the detected potential hazards are distributed mainly in the areas consisting of granite residual and the Quaternary soil. Six potential hazards identified by the SBAS-InSAR-based method are roughly in accordance with the on-site verification. It is suggested that the SBAS-InSAR technique has the ability to obtain the slope deformation accurately and reveal the safe condition of the slopes. The SBAS-InSAR technique can be suitable for assistance in regional highway slope inspection.

scholarly journals InSAR Monitoring of Italian Coastline Revealing Natural and Anthropogenic Ground Deformation Phenomena and Future Perspectives

2018 ◽  
Vol 10 (9) ◽  
pp. 3152 ◽  
Author(s):  
Marco Polcari ◽  
Matteo Albano ◽  
Antonio Montuori ◽  
Christian Bignami ◽  
Cristiano Tolomei ◽  
...  
Keyword(s):  
Ground Deformation ◽  
Coastal Areas ◽  
Coastal Hazards ◽  
Synthetic Aperture ◽  
Campi Flegrei ◽  
Interferometric Synthetic Aperture Radar ◽  
Future Perspectives ◽  
Multi Temporal ◽  
Sar Data ◽  
Small Baseline

In this work, we use X and C-band SAR data provided by the COSMO-SkyMed and ENVISAT missions to detect and measure some ground deformation phenomena along six coastal areas of Italy. In particular, we exploit multi-temporal interferometric synthetic aperture radar (InSAR), i.e., small baseline subsets (SBAS) and interferometric point target analysis (IPTA) methods, to retrieve the deformation rate maps and time series for each investigated area. Multi-temporal InSAR analysis revealed local subsidence and uplifting effects in Ravenna Coastal Areas, Fiumicino, Campi Flegrei, Sibari Plain, Augusta Bay, and Taranto Gulf. Our work is meant as a demonstrator to show how InSAR-based analysis can provide a detailed understanding of the coastal hazards. Such analysis also opens up new monitoring scenarios such as the possibility of designing a near real-time surveillance service based on Sentinel-1 SAR data.

scholarly journals VERTICAL LAND MOTION AND INUNDATION PROCESSES BASED ON THE INTEGRATION OF REMOTELY SENSED DATA AND IPCC AR5 SCENARIOS IN COASTAL SEMARANG, INDONESIA

2020 ◽  
Vol 16 (2) ◽  
pp. 121
Author(s):  
Muhammad Rizki Nandika ◽  
Setyo Budi Susilo ◽  
Vincentius Siregar
Keyword(s):  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Remotely Sensed Data ◽  
Sar Images ◽  
Intergovernmental Panel ◽  
Important Indicator ◽  
Central Java ◽  
Vertical Land Motion ◽  
Small Baseline Subset ◽  
Small Baseline

Vertical land motion (VLM) is an important indicator in obtaining information about relative sea-level rise (SLR) in the coastal environment, but this remains an area of study poorly investigated in Indonesia. The purpose of this study is to investigate the significance of the influence of VLM and SLR on inundation. We address this issue for Semarang, Central Java, by estimating VLM using the small baseline subset time series interferometry SAR method for 24 Sentinel-1 satellite data for the period March 2017 to May 2019. The interferometric synthetic aperture radar (InSAR) method was used to reveal the phase difference between two SAR images with two repetitions of satellite track at different times. The results of this study indicate that the average land subsidence that occurred in Semarang between March 2017 and May 2019 was from (-121) mm/year to + 24 mm/year. Through a combination of VLM and SLR scenario data obtained from the Intergovernmental Panel on Climate Change (IPCC), it was found that the Semarang coastal zone will continue to shrink due to inundation (forecast at 7% in 2065 and 10% in 2100).

scholarly journals Removal of systematic seasonal atmospheric signal from interferometric synthetic aperture radar ground deformation time series

2014 ◽  
Vol 41 (17) ◽  
pp. 6123-6130 ◽  
Author(s):  
Sergey V. Samsonov ◽  
Alexander P. Trishchenko ◽  
Kristy Tiampo ◽  
Pablo J. González ◽  
Yu Zhang ◽  
...  
Keyword(s):  
Time Series ◽  
Synthetic Aperture Radar ◽  
Ground Deformation ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Aperture Radar
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