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=== Probabilistic models ===
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[[Probability theory|Probabilistic]] decompression models are designed to calculate the [[risk]] (or probability) of [[decompression sickness]] (DCS) occurring on a given decompression profile.<ref name="Howle et al 2017" /><ref name="RRR9570" /> Statistical analysis is well suited to compressed air work in tunneling operations due to the large number of subjects undergoing similar exposures at the same ambient pressure and temperature, with similar workloads and exposure times, with the same decompression schedule.<ref name="Vann and Dunford 2013" /> Large numbers of decompressions under similar circumstances have shown that it is not reasonably practicable to eliminate all risk of DCS, so it is necessary to set an acceptable risk, based on the other factors relevant to the application. For example, easy access to effective treatment in the form of hyperbaric oxygen treatment on site, or greater advantage to getting the diver out of the water sooner, may make a higher incidence acceptable, while interfering with work schedule, adverse effects on worker morale or a high expectation of litigation would shift acceptable incidence rate downward. Efficiency is also a factor, as decompression of employees occurs during working hours.<ref name="Vann and Dunford 2013" />
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