The James Hutton Institute, Craigiebuckler, Aberdeen, Scotland, UK.
Water Res. 2013 Jan 1;47(1):1-15. doi: 10.1016/j.watres.2012.09.054. Epub 2012 Oct 12.
The gas transfer velocity (K(L)) and related gas transfer coefficient (k(2) = K(L)A/V, with A, area and V, volume) at the air-water interface are critical parameters in all gas flux studies such as green house gas emission, whole stream metabolism or industrial processes. So far, there is no theoretical model able to provide accurate estimation of gas transfer in streams. Hence, reaeration is often estimated with empirical equations. The gas transfer velocity need then to be corrected with a temperature coefficient θ = 1.0241. Yet several studies have long reported variation in θ with temperature and 'turbulence' of water (i.e. θ is not a constant). Here we re-investigate thoroughly a key theoretical model (Dobbins model) in detail after discovering important discrepancies. We then compare it with other theoretical models derived from a wide range of hydraulic behaviours (rigid to free continuous surface water, wave and waterfalls with bubbles). The results of the Dobbins model were found to hold, at least theoretically in the light of recent advances in hydraulics, although the more comprehensive results in this study highlighted a higher degree of complexity in θ's behaviour. According to the Dobbins model, the temperature coefficient θ, could vary from 1.005 to 1.042 within a temperature range of 0-35 °C and wide range of gas transfer velocities, i.e. 'turbulence' condition (0.005 < K(L) < 1.28 cm min(-1)). No other theoretical models showed any significant variability in θ with change in 'turbulence', and only modest variability in θ with change in temperature. However, the other theoretical models did not have the same temperature coefficient θ (with 1.000 < θ < 1.056 within 0-35 °C). A model integrating turbulence and bubble mediated gas transfer velocities suggested a lower temperature dependence for bubble (1.013<θ < 1.017) than turbulence (1.023<θ < 1.031) mediated processes. As it stands, the effect of turbulence on the temperature dependence of gas transfer at the air-water interface has still to be clarified, although many models simulate different flow conditions which may explain some of the observed discrepancies. We suggest that the temperature dependence curves produced by the Dobbins model may be used tentatively as a simple theoretical guide for streams with free surface water but not self-aerated flows encountered in whitewater rapids, cascades or weirs. Greater awareness of the different models and conditions of applications should help choosing an appropriate correction. Three case studies investigated the effect of the temperature coefficient on reaeration and stream metabolism (photosynthesis and respiration). In practice, the temperature correction may be an important parameter under constant turbulence conditions, but as the range in turbulence increases, the role of temperature may become negligible in determining K(L), whatever the temperature correction. The theoretical models reviewed here are also useful references to correct K(L) values determined using a reference tracer gas to a second species of interest.
在所有气体通量研究中,如温室气体排放、整体溪流代谢或工业过程,气-水界面处的气体转移速率(K(L))和相关的气体转移系数(k(2) = K(L)A/V,其中 A 为面积,V 为体积)都是关键参数。到目前为止,还没有能够提供准确的气体转移估计的理论模型。因此,常使用经验方程来估算复氧。需要用温度系数θ = 1.0241 对气体转移速率进行修正。然而,一些研究已经长期报告了温度和水的“紊流”(即θ不是一个常数)对θ的变化。在这里,我们在发现重要差异后,对一个关键的理论模型(多宾斯模型)进行了深入的重新研究。然后,我们将其与其他从广泛的水力行为(刚性到自由连续地表水、波浪和带气泡的瀑布)中得出的理论模型进行了比较。尽管本研究中更全面的结果突出了θ行为的更高复杂性,但多宾斯模型的结果至少在最近的水力学进展的理论上是成立的。根据多宾斯模型,在 0-35°C 的温度范围内和广泛的气体转移速率(紊流条件为 0.005<K(L)<1.28cmmin(-1))下,温度系数θ可以在 1.005 到 1.042 之间变化。没有其他理论模型显示θ随紊流变化有任何显著的可变性,只有随温度变化有适度的可变性。然而,其他理论模型的θ(0-35°C 之间为 1.000<θ<1.056)没有相同的温度系数θ。一个整合紊流和气泡介导的气体转移速率的模型表明,气泡介导的过程(1.013<θ<1.017)比紊流介导的过程(1.023<θ<1.031)对温度的依赖性更低。尽管许多模型模拟了不同的流动条件,这可能解释了一些观察到的差异,但目前为止,水-气界面处紊流对气体转移的温度依赖性的影响仍有待澄清。我们建议,多宾斯模型生成的温度依赖性曲线可以作为自由表面水溪流的简单理论指南,但不能用于白水急流、瀑布或堰中的自曝气流。对不同模型和应用条件的认识的提高将有助于选择适当的修正。三个案例研究调查了温度系数对复氧和溪流代谢(光合作用和呼吸作用)的影响。在实践中,在恒定紊流条件下,温度修正可能是一个重要参数,但随着紊流范围的增加,无论温度修正如何,温度对 K(L)的决定作用可能变得微不足道。本文回顾的理论模型也可用于修正使用参考示踪气体测定的 K(L)值,以适应第二种感兴趣的物质。