scholarly journals Heterogeneity Matters: Aggregation Bias of Gas Transfer Velocity Versus Energy Dissipation Rate Relations in Streams

2021 ◽  
Vol 48 (17) ◽  
Author(s):  
Gianluca Botter ◽  
Paolo Peruzzo ◽  
Nicola Durighetto
2013 ◽  
Vol 70 (12) ◽  
pp. 1757-1764 ◽  
Author(s):  
Dominic Vachon ◽  
Yves T. Prairie

Air–water diffusive gas flux is commonly determined using measurements of gas concentrations and an estimate of gas transfer velocity (k600) usually derived from wind speed. The great heterogeneity of aquatic systems raises questions about the appropriateness of using a single wind-based model to predict k600 in all aquatic systems. Theoretical considerations suggest that wind speed to k600 relationships should instead be system-specific. Using data collected from aquatic systems of different sizes, we show that k600 is related to fetch and other measures of ecosystem size. Lake area together with wind speed provided the best predictive model of gas transfer velocity and explained 68% of the variability in individual k600 measurements. For a moderate wind speed of 5 m·s−1, predicted k600 varied from 6 cm·h−1 in a small 1 ha lake to over 13 cm·h−1 in a 100 km2 system. Wave height is also shown to be a promising integrative predictor variable. The modulating influence of system size on wind speed – gas transfer velocity relationships can have a large impact on upscaling exercises of gas exchange at the whole landscape level.


2008 ◽  
Vol 113 (C11) ◽  
Author(s):  
Tatsuki Tokoro ◽  
Hajime Kayanne ◽  
Atsushi Watanabe ◽  
Kazuo Nadaoka ◽  
Hitoshi Tamura ◽  
...  

Ecosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
Author(s):  
Keridwen M. Whitmore ◽  
Nehemiah Stewart ◽  
Andrea C. Encalada ◽  
Esteban Suárez ◽  
Diego A. Riveros‐Iregui

1994 ◽  
Vol 5 (4) ◽  
pp. 537-557 ◽  
Author(s):  
M. Bertsch ◽  
R. Dal Passo ◽  
R. Kersner

We study the semi-empirical b—ε model which describes the time evolution of turbulent spots in the case of equal diffusivity of the turbulent energy density b and the energy dissipation rate ε. We prove that the system of two partial differential equations possesses a solution, and that after some time this solution exhibits self-similar behaviour, provided that the system has self-similar solutions. The existence of such self-similar solutions depends upon the value of a parameter of the model.


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