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

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...

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Published in:Computers & Geosciences
Main Authors: Laflamme, Amélie-Julie, Grenon, Martin
Format: Other/Unknown Material
Language:English
Published: Computer Oriented Geological Society 2019
Subjects:
Online Access:https://hdl.handle.net/20.500.11794/33133
https://doi.org/10.1016/j.cageo.2010.12.006
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author Laflamme, Amélie-Julie
Grenon, Martin
author_facet Laflamme, Amélie-Julie
Grenon, Martin
author_sort Laflamme, Amélie-Julie
collection Université Laval: CorpusUL
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container_title Computers & Geosciences
container_volume 37
description 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.
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spelling ftunivlavalcorp:oai:corpus.ulaval.ca:20.500.11794/33133 2025-05-25T13:51:11+00:00 Slope orientation assessment for open-pit mines, using GIS-based algorithms Laflamme, Amélie-Julie Grenon, Martin Keewatin (Nunavut) 2019-01-11T15:53:17Z application/pdf https://hdl.handle.net/20.500.11794/33133 https://doi.org/10.1016/j.cageo.2010.12.006 eng eng Computer Oriented Geological Society https://hdl.handle.net/20.500.11794/33133 doi:10.1016/j.cageo.2010.12.006 http://purl.org/coar/access_right/c_abf2 Open-pit mining Interramp orientation Bench face orientation GIS Integrated design Block modeling Pentes (Mécanique des sols) -- Stabilité Mines -- Exploitation à ciel ouvert Systèmes d'information géographique Modèles mathématiques article de recherche COAR1_1::Texte::Périodique::Revue::Contribution à un journal::Article::Article de recherche 2019 ftunivlavalcorp https://doi.org/20.500.11794/3313310.1016/j.cageo.2010.12.006 2025-04-28T00:28:26Z 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. Other/Unknown Material Keewatin Nunavut Université Laval: CorpusUL Nunavut The Bench ENVELOPE(-53.181,-53.181,49.767,49.767) Computers & Geosciences 37 9 1413 1424
spellingShingle Open-pit mining
Interramp orientation
Bench face orientation
GIS
Integrated design
Block modeling
Pentes (Mécanique des sols) -- Stabilité
Mines -- Exploitation à ciel ouvert
Systèmes d'information géographique
Modèles mathématiques
Laflamme, Amélie-Julie
Grenon, Martin
Slope orientation assessment for open-pit mines, using GIS-based algorithms
title Slope orientation assessment for open-pit mines, using GIS-based algorithms
title_full Slope orientation assessment for open-pit mines, using GIS-based algorithms
title_fullStr Slope orientation assessment for open-pit mines, using GIS-based algorithms
title_full_unstemmed Slope orientation assessment for open-pit mines, using GIS-based algorithms
title_short Slope orientation assessment for open-pit mines, using GIS-based algorithms
title_sort slope orientation assessment for open-pit mines, using gis-based algorithms
topic Open-pit mining
Interramp orientation
Bench face orientation
GIS
Integrated design
Block modeling
Pentes (Mécanique des sols) -- Stabilité
Mines -- Exploitation à ciel ouvert
Systèmes d'information géographique
Modèles mathématiques
topic_facet Open-pit mining
Interramp orientation
Bench face orientation
GIS
Integrated design
Block modeling
Pentes (Mécanique des sols) -- Stabilité
Mines -- Exploitation à ciel ouvert
Systèmes d'information géographique
Modèles mathématiques
url https://hdl.handle.net/20.500.11794/33133
https://doi.org/10.1016/j.cageo.2010.12.006