Slope orientation assessment for open-pit mines, using GIS-based algorithms

• Published in: Computers & geosciences Vol. 37; no. 9; pp. 1413 - 1424
• Main Authors: Grenon, Martin, Laflamme, Amélie-Julie
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.09.2011; Elsevier
• Subjects: Algorithms; Areal geology; Areal geology. Maps; Bench face orientation; Benches; Block modeling; computers; Design engineering; digital elevation models; Discrete element method; Earth sciences; Earth, ocean, space; engineering; Engineering and environment geology. Geothermics; Engineering geology; Exact sciences and technology; geographic information systems; Geologic maps, cartography; GIS; Integrated design; Interramp orientation; Methodology; Mines; Mining; Open-pit mining; Orientation; principal component analysis; Canada; GIS; Integrated design; Block modeling; Bench face orientation; Open-pit mining; Interramp orientation; algorithms; models; orientation; histograms; projects; data processing; digital elevation models; geographic information systems; mining; slopes; North America; principal components analysis; mines; instability; geometry; open-pit mining; computers; slope stability
• ISSN: 0098-3004; 1873-7803
• DOI: 10.1016/j.cageo.2010.12.006

Standard stability analysis in geomechanical rock slope engineering for open-pit mines relies on a simplified representation of slope geometry, which does not take full advantage of available topographical data in the early design stages of a mining project; consequently, this may lead to nonoptimal slope design. The primary objective of this paper is to present a methodology that allows for the rigorous determination of interramp and bench face slope orientations on a digital elevation model (DEM) of a designed open pit. Common GIS slope algorithms were tested to assess slope orientations on the DEM of the Meadowbank mining project's Portage pit. Planar regression algorithms based on principal component analysis provided the best results at both the interramp and the bench face levels. The optimal sampling window for interramp was 21×21 cells, while a 9×9-cell window was best at the bench level. Subsequent slope stability analysis relying on those assessed slope orientations would provide a more realistic geometry for potential slope instabilities in the design pit. The presented methodology is flexible, and can be adapted depending on a given mine's block sizes and pit geometry.