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Suunto reduced gradient bubble model (rgbm) – SUUNTO VYTEC User Manual

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Before high altitude diving, the instrument must be set to the Altitude

Adjustment mode to adjust the calculations for the new altitude. The

maximum partial pressures of nitrogen allowed by the mathematical

model of the dive computer are reduced according to the lower ambient

pressure.
As a result, the allowed no-decompression stop limits are considerably

reduced.

SURFACE INTERVALS

The dive computer requires a minimum surface interval of 5 minutes

between dives. If a surface interval is shorter than 5 minutes, the next

dive is treated as a continuation of the previous dive.

6.2. SUUNTO REDUCED GRADIENT BUBBLE

MODEL (RGBM)

The Suunto Reduced Gradient Bubble Model (RGBM) is a modern al-

gorithm for predicting both dissolved and free gas in the tissues and

blood of divers. It was developed in a co-operation between Suunto

and Bruce R. Wienke BSc, MSc. PhD. It is based on both laboratory

experiments and diving data, including data from DAN.
It is a significant advance on the classical Haldane models, which do

not predict free gas (microbubbles). The advantage of Suunto RGBM is

additional safety through its ability to adapt to a wide variety of situa-

tions. Suunto RGBM addresses a number of diving circumstances out-

side the range of just dissolved gas models by:

•

Monitoring continuous multiday diving

•

Computing closely spaced repetitive diving

•

Reacting to a dive deeper than the previous dive

•

Adapting for rapid ascents which produce high micro-bubble

(silent-bubble) build-up

•

Incorporating consistency with real physical laws for gas

kinetics.

Suunto RGBM Adaptive decompression
The SUUNTO RGBM algorithm adapts its predictions of both the ef-

fects of micro-bubble build-up and adverse dive profiles in the current

dive series. It will also change these calculations according to the per-

sonal adjustment you select.
The pattern and speed of decompression at the surface is adjusted

according to micro-bubble influence.