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Large CO2 effluxes at night and during synoptic weather events significantly contribute to CO2 emissions from a reservoir

机译:夜间和天气天气期间大量的CO2排放明显地影响了油藏的CO2排放

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CO2 emissions from inland waters are commonly determined by indirect methods that are based on the product of a gas transfer coefficient and the concentration gradient at the air water interface (e.g., wind-based gas transfer models). The measurements of concentration gradient are typically collected during the day in fair weather throughout the course of a year. Direct measurements of eddy covariance CO2 fluxes from a large inland water body (Ross Barnett reservoir, Mississippi, USA) show that CO2 effluxes at night are approximately 70% greater than those during the day. At longer time scales, frequent synoptic weather events associated with extratropical cyclones induce CO2 flux pulses, resulting in further increase in annual CO2 effluxes by 16%. Therefore, CO2 emission rates from this reservoir, if these diel and synoptic processes are under-sampled, are likely to be underestimated by approximately 40%. Our results also indicate that the CO2 emission rates from global inland waters reported in the literature, when based on indirect methods, are likely underestimated. Field samplings and indirect modeling frameworks that estimate CO2 emissions should account for both daytime–nighttime efflux difference and enhanced emissions during synoptic weather events. The analysis here can guide carbon emission sampling to improve regional carbon estimates.
机译:内陆水域的CO2排放通常通过间接方法确定,该方法基于气体转移系数与空气水界面处的浓度梯度的乘积(例如基于风的气体转移模型)。浓度梯度的测量通常在一年中的白天在白天收集。对大型内陆水体(美国密西西比州罗斯·巴内特水库,美国)涡流协方差CO2通量的直接测量表明,夜间的CO2排放量比白天的高约70%。在更长的时间尺度上,与温带气旋相关的频繁天气天气事件会诱发CO2通量脉冲,从而导致年度CO2流量进一步增加16%。因此,如果对这些diel和天气过程进行了欠采样,则来自该油藏的CO2排放率可能会被低估约40%。我们的结果还表明,基于间接方法,文献中报道的全球内陆水域的CO2排放率可能被低估了。估计CO2排放量的野外采样和间接建模框架应同时考虑白天和夜间的外流差异以及天气天气事件中排放量的增加。此处的分析可以指导碳排放采样以改善区域碳估算。

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