A simple calculation algorithm to separate high-resolution CH 4 flux measurements into ebullition- and diffusion-derived components

A simple calculation algorithm to separate high-resolution CH 4 flux measurements into ebullition- and diffusion-derived components
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一种简单的计算算法,可将高分辨率 CH 4 通量测量分离为沸腾和扩散衍生分量

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发表时间:
2016
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影响因子:
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通讯作者:
J. Augustin
J. Augustin
中科院分区:
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作者:
M. Hoffmann;Maximilian Schulz;J. G. Alba;Nicole Jurisch;U. Hagemann;T. Sachs;M. Sommer;J. Augustin

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湿地生态系统中甲烷(CH4)的产生、转化和传输过程非常复杂。我们提出了一个简单的计算算法来分离开放水域的CH4通量测量与自动室扩散和沸腾衍生的组件。这有助于揭示潜在的动态,查明潜在的环境驱动因素,从而计算可靠的CH4排放量估计数。通量分离是基于在单次测量期间与沸腾相关的突然浓度变化的识别。因此,使用上下四分位数和四分位距(IQR)应用可变沸腾过滤器。数据处理的自动化是通过使用一个既定的R脚本,调整为CH4通量计算的目的。该算法进行了验证,通过实验室实验和测试,使用通量测量数据(2013年7月至9月)从前沼泽草地网站,转化为浅湖的结果,再润湿。沸腾和扩散对甲烷排放总量的贡献相等(46%和55%),与文献中给出的比率相当。此外,分离算法揭示了一个隐藏的变化,在整个测量期间的扩散通量的日趋势。水温梯度被确定为扩散CH4排放的主要驱动因素之一,而没有显着的驱动程序被发现在不稳定的CH4沸腾事件的情况下。
Processes driving the production, transformation and transport of methane (CH4) in wetland ecosystems are highly complex. We present a simple calculation algorithm to separate open-water CH4 fluxes measured with automatic chambers into diffusion- and ebullition-derived components. This helps to reveal underlying dynamics, to identify potential environmental drivers and, thus, to calculate reliable CH4 emission estimates. The flux separation is based on identification of ebullition-related sudden concentration changes during single measurements. Therefore, a variable ebullition filter is applied, using the lower and upper quartile and the interquartile range (IQR). Automation of data processing is achieved by using an established R script, adjusted for the purpose of CH4 flux calculation. The algorithm was validated by performing a laboratory experiment and tested using flux measurement data (July to September 2013) from a former fen grassland site, which converted into a shallow lake as a result of rewetting. Ebullition and diffusion contributed equally (46 and 55 %) to total CH4 emissions, which is comparable to ratios given in the literature. Moreover, the separation algorithm revealed a concealed shift in the diurnal trend of diffusive fluxes throughout the measurement period. The water temperature gradient was identified as one of the major drivers of diffusive CH4 emissions, whereas no significant driver was found in the case of erratic CH4 ebullition events.
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