Analysis of mining terrain deformation based on public PSInSAR data. Norwegian iron ore mine case study
Research output: Thesis › Master's Thesis
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2023.
Research output: Thesis › Master's Thesis
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TY - THES
T1 - Analysis of mining terrain deformation based on public PSInSAR data. Norwegian iron ore mine case study
AU - Joachimiak, Malwina
N1 - no embargo
PY - 2023
Y1 - 2023
N2 - The thesis described sublevel caving mining method and its associations with ground deformations. The literature review was conducted to explore different methods for analyzing land subsidence related to sublevel caving mining method. In order to gather data for analysis, land subsidence PSInSAR data from the Kvannevann iron mine in Norway were obtained from the insar.ngu.no website. Using Random Forest Regression method, the predicted ground subsidence in study area was calculated and the extent of continuous deformation zone was estimated. Finally, the applicability of public data for deformation monitoring purposes was evaluated.
AB - The thesis described sublevel caving mining method and its associations with ground deformations. The literature review was conducted to explore different methods for analyzing land subsidence related to sublevel caving mining method. In order to gather data for analysis, land subsidence PSInSAR data from the Kvannevann iron mine in Norway were obtained from the insar.ngu.no website. Using Random Forest Regression method, the predicted ground subsidence in study area was calculated and the extent of continuous deformation zone was estimated. Finally, the applicability of public data for deformation monitoring purposes was evaluated.
KW - Sublevel Caving
KW - ground subsidence
KW - Random Forest Regression
KW - ground deformation monitoring
KW - Sublevel Caving
KW - Bodenabsenkung
KW - Random Forest Regression
KW - Überwachung der Bodenverformung
M3 - Master's Thesis
ER -