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A case study of a giant reactivated landslide based on NPR anchor cable Newton force early warning.
- Source :
- Journal of Mountain Science; Nov2023, Vol. 20 Issue 11, p3283-3294, 12p
- Publication Year :
- 2023
-
Abstract
- In a large ancient landslide, approximately 240,000 m<superscript>3</superscript> of sediments were reactivated, posing a grave threat to the safety of iron ore stopes. To trace the deformation and evolution history of reactivated Landslide, we conducted geological surveys and combined real-time monitoring equipment to analyze the landslide data since 1986 and the deformation status of the reactivated Landslide. A multi-factor comprehensive landslide monitoring method and an Newton force early warning system (NFEWS) were established, focusing on underground stress, surface deformation information and landslide stability. Furthermore, we developed a four-level early warning grading standard, employing surface cracks and changes in underground stress thresholds as early warning indicators. This standard adds expert assessment to avoid false alarms and realize real-time dynamics of mining landslides during excavation and transportation. Through the case study and analysis of Nanfen open-pit mine, the NFEWS system offers valuable insights and solution for early warning of landslides in analogous open-pit mines. Finally, the evaluation index system of landslide hazard susceptibility was established by selecting the Newton force influence factor. A landslide susceptibility zoning map is constructed using the information value model. The rationality and accuracy are assessed from three perspectives: frequency ratio, landslide hazard point density, and receiver operating characteristic (ROC) curve. The improved Newton force landslide early warning system provides a good reference for the analysis and monitoring of the creep landslide evolution process. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 16726316
- Volume :
- 20
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- Journal of Mountain Science
- Publication Type :
- Academic Journal
- Accession number :
- 173891111
- Full Text :
- https://doi.org/10.1007/s11629-023-8097-3