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High-frequency measurements of gas ebullition in a Brazilian subtropical reservoir-identification of relevant triggers and seasonal patterns

机译:巴西亚热带储层中的气体沸腾的高频测量 - 鉴定相关触发器和季节性模式

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Water bodies, either natural or constructed impoundments, are sources of methane to the atmosphere, in which ebullition is frequently mentioned to be the dominant pathway. Ebullition is a complex process that is spatially dependent on factors acting over large distances (atmospheric pressure changes, wind) and factors acting locally (sediment characteristics, gas production) and is temporally variable due to the parameters' oscillation with time. Its quantification through measurements is still limited, as is the identification of production processes and triggers for ebullition. This research focused on obtaining high temporal resolution measurements of gas ebullition from a water supply reservoir located in Brazil, to compare its temporal variability with changes in reservoir conditions, and obtain insights on its spatial patterns. Three automated bubble traps were deployed in the reservoir and measured gas flux from February 2017 to March 2018. The time series data showed a large temporal variability in ebullition. Less intense fluxes occurred with higher frequency, and short-duration events made a larger contribution to the total amount of gas emitted. A strong seasonal variation was observed, in which the mean flux recorded during periods when the reservoir was stratified was 2-16 fold the bubbling rates recorded during colder months and mixed water column. In addition, high flux events were correlated with decreasing atmospheric pressure and increased wind intensities. Lastly, we show that the mean gas emission flux tends to be underestimated during short sampling periods (probability 41% for sampling periods shorter than 10days).
机译:水体,天然或构造的蓄水,是甲烷的来源到大气中,其中常常提及沸腾是主要的途径。 eBullition是一种复杂的过程,其空间上取决于作用的大距离(大气压变化,风)和作用局部(沉积物特性,天然气生产)的因素,并且由于参数振荡随着时间的推动而逐时变量。通过测量的定量仍然有限,是鉴定生产过程和抗沸腾的触发器。本研究专注于从位于巴西的供水库中获取高时分辨率测量,以比较其在储层条件的变化中的时间变化,并在其空间模式中获得见解。在2017年2月至2018年3月,水库中的三个自动泡沫陷阱部署在储层和测量的气体通量。时间序列数据在沸腾中显示出大的时间变异性。频率较高的强烈助熔剂,短持续时间事件对排放的气体总量进行了更大的贡献。观察到强烈的季节性变化,其中当储存器分层时,在时段中记录的平均通量为2-16倍,在较冷的月份和混合水柱中记录的鼓泡率折叠。此外,高通量事件与大气压降低和增加的风强度相关。最后,我们表明,在短的采样周期(概率> 41%短于10天的采样期间)趋于低估了平均气体排放磁通量。

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