Development Risk Matrix

ABSTRACT: In mining operations, risk matrices are essential tools for assessing operational, environmental, and financial hazards. Key applications include evaluating slope stability, ensuring safety in operations involving explosives and heavy equipment, assessing the risks of tailings dam failures, and analyzing environmental impacts such as soil contamination and deforestation. This study presents the Development Risk Matrix, designed to manage the risk of fall of ground incidents that may cause injuries. The probability of failure (PoF) is determined based on rock mass degradation, while the consequences are assessed according to personnel exposure in different mining sectors. The probability of fall of ground is calculated by incorporating four key factors: rock mass strength, induced stress, foliations, and rock support conditions. The risk classification framework categorizes hazards into four levels: very low, low, medium and high. Calibration of this classification was based on geological strength index (GSI). The ranking output establishes priorities for rehabilitation efforts, determines the type and frequency of monitoring required. This methodology enhances risk management in mining operations, optimizing resource allocation and improving overall safety.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.56952/arma-2025-0664
Primary Topic
International Development and Aid
Type
article
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article

Development Risk Matrix

Milton César Costa Campos, Bárbara Filipa Sousa Andrade, R. C. Padula
International Development and Aid
article

Development Risk Matrix

Milton César Costa Campos, Bárbara Filipa Sousa Andrade, R. C. Padula
article en

Abstract

ABSTRACT: In mining operations, risk matrices are essential tools for assessing operational, environmental, and financial hazards. Key applications include evaluating slope stability, ensuring safety in operations involving explosives and heavy equipment, assessing the risks of tailings dam failures, and analyzing environmental impacts such as soil contamination and deforestation. This study presents the Development Risk Matrix, designed to manage the risk of fall of ground incidents that may cause injuries. The probability of failure (PoF) is determined based on rock mass degradation, while the consequences are assessed according to personnel exposure in different mining sectors. The probability of fall of ground is calculated by incorporating four key factors: rock mass strength, induced stress, foliations, and rock support conditions. The risk classification framework categorizes hazards into four levels: very low, low, medium and high. Calibration of this classification was based on geological strength index (GSI). The ranking output establishes priorities for rehabilitation efforts, determines the type and frequency of monitoring required. This methodology enhances risk management in mining operations, optimizing resource allocation and improving overall safety.

AngloGold Ashanti (South Africa) (ZA)
Openalex Percentile: Top 59%
International Development and Aid
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