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This study aims to evaluate the impact of input accuracy on ventilation network analyses and propose improved measurement techniques.

June 19, 2026MiningOpen Access

Anemometric Field Measurements and Surface Mapping for Enhanced Ventilation Network Assessments

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This study aims to evaluate the impact of input accuracy on ventilation network analyses and propose improved measurement techniques.
Analyzed the sensitivity of the Hardy Cross algorithm to airflow intake errors.
Utilized direct anemometric measurements for airflow assessment.
Integrated these measurements with cartographic mapping techniques for enhanced visualization.
The study found that overestimating the intake error can reach 77%, significantly affecting network accuracy.
Demonstrated that relying solely on mathematical balance can misrepresent network functionality.
Proposed methodology visualizes airflow variability within excavations, highlighting the influence of wall roughness.

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Randomized trial demonstrates advanced airflow mapping in underground mines, suggesting enhanced accuracy in ventilation assessments.

Boustila et al. (2026) studied this question.

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