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Diving Bubble Model Data Correlations | OMICS International | Abstract
ISSN: 2155-9910

Journal of Marine Science: Research & Development
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Short Communication

Diving Bubble Model Data Correlations

Wienke BR1* and O’Leary TR2

1Computational Physics C and C Dive Team, Los Alamos National Laboratory, Ldr Los Alamos, USA.

2Technical Diving Operations, American Diving and Marine Salvage, Tampa, FL 33578, USA.

*Corresponding Author:
Wienke BR
Program Manager
Computational Physics C and C Dive Team
Los Alamos National Laboratory
Ldr Los Alamos, USA
Tel: +15056671358
Fax: +15056657725
E-mail: brwtech@earthlink.net

Received Date: April 29, 2016; Accepted Date: July 12, 2016; Published Date: July 16, 2016

Citation: Wienke BR, O’Leary TR (2016) Diving Bubble Model Data Correlations. J Marine Sci Res Dev 6:1000204. doi: 10.4172/2155-9910.1000204

Copyright: © 2016 Wienke BR, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

This short article deals with useful and modern bubble models used to stage divers to the surface and correlations, if and when they exist, with actual data, usually decompression sickness (DCS) outcomes across a limited spectrum of exposures. Many of the early (wet) tests were carried out by world Navies, later by hyperbaric chamber testing and today also by statistical inference from downloaded computer profiles. All have contributed to correlation of models and data but in varying degrees as the scope of mixed gas, open circuit (OC) and rebreather (RB), nonstop to saturation and sea level to altitude diving is immense. No amount of wet or chamber testing will ever cover the ground here, but there is considerable hope and potential for downloaded computer profile data coupled to DCS outcomes to provide necessary correlations across the varied activities of modern diving.

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Citations : 2494

Journal of Marine Science: Research & Development received 2494 citations as per Google Scholar report

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