Workman65(scuba)
Workman65()所属R语言包:scuba
Decompression model of Workman 1965
1965年,工人的减压模式
译者:生物统计家园网 机器人LoveR
描述----------Description----------
The parameters of the decompression model due to Workman, 1965.
的工人,1965年因减压模型的参数。
格式----------Format----------
A data frame giving the following parameters for each compartment:
一个数据框,每个车厢提供以下参数:
Nitrogen halftime (minutes)
氮半场结束时(分钟)
surfacing M-value parameter M0 in msw (metres of seawater)
堆焊M-value参数M0的城市生活垃圾(米的海水)
Details
详细信息----------Details----------
The decompression model developed for the US Navy by Workman (1965) is a pure diffusion (Haldane-type) model consisting of 9 tissue compartments. Nitrogen in the breathing gas diffuses in and out of each compartment at a rate governed by the halftime for that compartment. The maximum tolerable nitrogen tension in a compartment, when the diver is at depth D msw (metres of sea water), is M = M0 + A * D msw, where M0 and A are values intrinsic to the tissue. The value M0 is called the "surfacing M-value" since it is the maximum nitrogen tension that is allowed in each compartment during a no-decompression dive at sea level.
工人(1965年)为美国海军开发的减压模式是纯扩散模型(霍尔丹型)组成的9个组织车厢。呼吸气体的氮的扩散和满分每个隔室速率受该舱室的半场。当潜水员在车厢内,可承受的最大氮紧张是在深度D MSW(米的海水),是M = M0 + A * D城市生活垃圾,其中M0和A值固有的组织。的价值M0被称为“浮出水面M值”,因为它是最大的氮张力,允许在每节车厢在不减压潜水在海平面。
(作者)----------Author(s)----------
Adrian Baddeley
<a href="mailto:Adrian.Baddeley@csiro.au">Adrian.Baddeley@csiro.au</a>
<a href="http://www.maths.uwa.edu.au/~adrian/">http://www.maths.uwa.edu.au/~adrian/</a>
源----------Source----------
Tikvisis and Gerth (2003), Table 10.1.1, page 440.
Tikvisis格斯(Gerth)(2003年),表10.1.1,第440页。
参考文献----------References----------
Bennett and Elliott's Physiology and Medicine of Diving. 5th Edition. Saunders. ISBN 0-7020-2571-2
Decompression Theory. In Brubakk and Neuman (2003), Chapter 10.1, pages 419-454.
for nitrogen-oxygen and helium-oxygen dives. Research Report 6-65. US Navy Experimental Diving Unit. Washington DC.
参见----------See Also----------
BuehlmannL16A
BuehlmannL16A
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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