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Measured depth temperature history slope coincides satisfactorily with the Cat1D computed one.
A habitat suitability index is created based on the extent and frequency of inundation, water depth, temperature, and vegetation.
Dissimilarity between samples was influenced by the oceanographic variables, depth, temperature and oxygen, the factorial variables of water mass and substrate, in addition to terrain properties such as slope, aspect and TPI.
Several reiterations of the analysis were conducted in order to avoid correlation between co-variable oceanographic parameters (depth, temperature and oxygen) and terrain variables (broad and fine scale TPI and general, planar and profile curvature).
Challenges of system calibration at depth, temperature and pressure artifacts, and system control through over 4 km of cable were successfully overcome.
The simulation results identified melt temperature as the dominant factor affecting the injection pressure, clamp force, shear stress, sink mark depth, temperature at flow front and volumetric shrinkage.
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Time to ignition, critical heat flux, in-depth temperature profiles were investigated.
The model can predict the in-depth temperature profiles with an average error lower than 9%.
Temperature is governed by heat equation and is solved by the means of boundary conditions such as in-depth temperature and flux balance at surface.
Additional instrumentation was added to the specimens for surface and in-depth temperature measurements, which is needed for calculating thermal properties of the composites.
Drilling confirmed the existence of a liquid-dominated shallow reservoir inside the Dubti Plantation, characterised by a boiling-point-for-depth temperature distribution down to about 500 m depth.
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