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A simple calculation algorithm to separate high-resolution CHsub4/sub flux measurements into ebullition- and diffusion-derived components

机译:一种简单的计算算法,可将高分辨率的CH 4 磁通量测量值分离为磁化分量和扩散分量

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摘要

Processes driving the production, transformation and transport of methane (CHsub4/sub) in wetland ecosystems are highly complex. We present a simple calculation algorithm to separate open-water CHsub4/sub 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 CHsub4/sub 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 CHsub4/sub 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 55a?ˉ%) to total CHsub4/sub 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 CHsub4/sub emissions, whereas no significant driver was found in the case of erratic CHsub4/sub ebullition events.
机译:驱动湿地生态系统中甲烷(CH 4 )的生产,转化和运输的过程非常复杂。我们提出了一种简单的计算算法,可将自动室测量的开水CH 4 通量分离为扩散和沸腾衍生的成分。这有助于揭示潜在的动态,识别潜在的环境驱动因素,从而计算出可靠的CH 4 排放估算。通量分离是基于识别单次测量中与沸腾相关的浓度突然变化。因此,使用上下四分位和四分位间距(IQR)来应用可变Ebullition滤波器。数据处理的自动化是通过使用已建立的R脚本实现的,该脚本已针对CH 4 通量计算进行了调整。通过执行实验室实验对算法进行了验证,并使用了前芬草原站点的通量测量数据(2013年7月至2013年9月)进行了测试,该数据通过重新润湿转换为浅湖。硝化和扩散对CH 4 的总排放量的贡献相等(分别为46和55a?%),与文献中给出的比率相当。此外,分离算法揭示了整个测量期间扩散通量的昼夜趋势的隐性变化。水温梯度被确定为扩散CH 4 排放的主要驱动因素之一,而在CH 4 不稳定的沸腾事件中未发现明显的驱动因素。

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