Graduate Program on Water Resources and Environmental Engineering (PPGERHA), Federal University of Parana (UFPR), Curitiba, Brazil.
Department of Environmental Engineering, Federal University of Parana, Curitiba, Brazil.
Environ Monit Assess. 2019 May 9;191(6):357. doi: 10.1007/s10661-019-7498-9.
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 10 days).
水体,无论是自然形成的还是人工修建的蓄水设施,都是向大气中排放甲烷的来源,其中喷涌被频繁提及是主要途径。喷涌是一个复杂的过程,在空间上取决于远距离作用的因素(气压变化、风)和局部作用的因素(沉积物特征、气体产生),并且由于参数随时间的振荡而具有时间可变性。通过测量对其进行量化仍然有限,因为对生产过程和喷涌触发因素的识别也是如此。本研究专注于从巴西的一个供水水库中获取气体喷涌的高时间分辨率测量,以比较其时间变化与水库条件变化的关系,并深入了解其空间模式。三个自动气泡阱被部署在水库中,并从 2017 年 2 月到 2018 年 3 月测量气体通量。时间序列数据显示喷涌具有很大的时间可变性。强度较低的通量出现的频率更高,短持续时间的事件对总气体排放量的贡献更大。观察到强烈的季节性变化,其中在水库分层期间记录的平均通量是在较冷月份和混合水柱中记录的冒泡速率的 2-16 倍。此外,高流量事件与气压下降和风速增加有关。最后,我们表明,在短采样期间,平均气体排放通量往往被低估(采样期短于 10 天的概率> 41%)。