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2007, Piran, Slovenia

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Environmental Ergonomics XII<br />

Igor B. Mekjavic, Stelios N. Kounalakis & Nigel A.S. Taylor (Eds.), © BIOMED, Ljubljana <strong>2007</strong><br />

METABOLIC ANALYSIS OF IN-SITU WORK PERFROMED IN A<br />

CANADIAN DEEP MINE<br />

1 Maté, J., 1 G.P. Kenny, 1 F. D. Beaulieu, 2 S. Hardcastle, 1 O. Jay, 1 F.D.Reardon<br />

1 University of Ottawa, School of Human Kinetics, 1 Laboratory of Human Bioenergetics and<br />

Environmental Physiology Ottawa, Ontario, Canada; and, 2 Natural Resources Canada’s<br />

Mining and Mineral Sciences Laboratories Sudbury, Ontario, Canada.<br />

Contact Person: freardon@uottawa.ca<br />

Higher ambient temperatures are being experienced by mining personnel as current practices<br />

allow for mining to occur at greater depths. The American Conference of Governmental<br />

Industrial Hygienists published Threshold Limit Values ® that are based on the wet bulb globe<br />

temperature (WBGT). Accompanying the high variability in the jobs performed and also in<br />

the workers body size, body composition, and physical efficiency, there is a need to account<br />

for these variables in establishing “best practice” work standards for deep Canadian mines.<br />

The purpose of this investigation was to establish the metabolic energy expenditure under<br />

typical mining conditions for selected common mining jobs. The results are presented from<br />

the first phase of a multi phase project.<br />

Six common in-situ mining jobs were evaluated according to a five level work intensity scale<br />

(ISO 7243), with concurrent deep tissue (core) and skin temperature measurements. These<br />

six jobs were categorized into three groups according to similar metabolic energy<br />

expenditures for statistical analysis. These groups consisted of: Bolting and Scooptram<br />

(Group BOL), Production drill, Conventional Mining, and Shotcrete (Group PRO), and<br />

Services (Group SER) Average dry bulb, relative humidity, and an indirect WBGT were<br />

Group BOL (26.1 ± 2.5 °C, 64.0 ± 18.4 %, 23.5 ± 2.8°C) Group PRO (26.4 ± 2.2°C, 61.3 ±<br />

20.5 %, 21.7 ± 1.9°C) and Group SER (24.0 ±4.6°C, 55.9 ± 25.2 %, 25.7 ± 1.3) respectively.<br />

Average subject characteristics were: 40 yrs, 1.70 ± 0.31 m, 83.6 ± 20.3 kg, 20.6 ± 7.3 %<br />

body fat, and 1.96 ± 0.39 BSA. Significant differences were observed between all three job<br />

groups (Group BOL, PRO, and SER) at intensity levels of 2 (P = 0.033), 4 (P = 0.033), and 5<br />

(P = 0.047). Means and standard deviations of metabolic energy expenditures measured for<br />

groups BOL, PRO, and SER were 284.8 ± 91.6 W, 602.0 ± 194.5 W, and 735.9 ± 199.5<br />

W accordingly. Maximum metabolic energy expenditures observed in each group were<br />

1104.1 W, 958.6 W, and 1080.4 W BOL, PRO SER respectively. The proportion of work<br />

time spent using upper body versus lower body movements differed significantly amongst the<br />

three groups (P < 0.001). These were 90 % verus 75 % for BOL, 83 % versus 30 % for PRO<br />

and 84 % versus 53 % for SER for upper versus lower body movements respectively.<br />

Changes from baseline to end of work shift deep tissue temperature were Group BOL 0.4 ±<br />

0.2°C, Group PRO 0.3 ± 0.2°C, and Group SER 0.2 ± 0.2°C. Differences in the change were<br />

found to be significant (P < 0.001) in all groups. Change in mean skin temperature<br />

from baseline to end of work shift were Group BOL 1.4 ± 1.5°C, Group PRO 1.4 ± 0.8°C, and<br />

Group SER 2.0 ± 1.7°C. In groups PRO (P < 0.001) and SER (P = 0.034) significant<br />

differences were identified.These findings show that metabolic energy expenditure appeared<br />

to be largely dependent on the type of mining job. Further, under these environmental<br />

conditions the miners do not appear to be in a state of uncompensated heat stress. Miners<br />

may be at a greater risk of heat stress when exposed to higher ambient temperature and<br />

humidity conditions when performing the same work intensity.<br />

ACKNOWLEDGEMENT<br />

The authors gratefully acknowledge Deep Mining Research Consortium (DMRC) financial<br />

support and cooperation in the research leading to this publication.<br />

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