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首页> 外文期刊>Environmental Science & Technology >Spatially Resolved Measurements of CO_2 and CH_4 Concentration and Gas-Exchange Velocity Highly Influence Carbon-Emission Estimates of Reservoirs
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Spatially Resolved Measurements of CO_2 and CH_4 Concentration and Gas-Exchange Velocity Highly Influence Carbon-Emission Estimates of Reservoirs

机译：CO_2和CH_4浓度的空间分辨测量以及气体交换速度对储层碳排放估算有很大影响

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src="http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/esthag/2018/esthag.2018.52.issue-2/acs.est.7b05138/20180111/images/medium/es-2017-05138z_0003.gif">The magnitude of diffusive carbon dioxide (CO2) and methane (CH4) emission from man-made reservoirs is uncertain because the spatial variability generally is not well-represented. Here, we examine the spatial variability and its drivers for partial pressure, gas-exchange velocity (k), and diffusive flux of CO2 and CH4 in three tropical reservoirs using spatially resolved measurements of both gas concentrations and k. We observed high spatial variability in CO2 and CH4 concentrations and flux within all three reservoirs, with river inflow areas generally displaying elevated CH4 concentrations. Conversely, areas close to the dam are generally characterized by low concentrations and are therefore not likely to be representative for the whole system. A large share (44–83%) of the within-reservoir variability of gas concentration was explained by dissolved oxygen, pH, chlorophyll, water depth, and within-reservoir location. High spatial variability in k was observed, and kCH4 was persistently higher (on average, 2.5 times more) than kCO2. Not accounting for the within-reservoir variability in concentrations and k may lead to up to 80% underestimation of whole-system diffusive emission of CO2 and CH4. Our findings provide valuable information on how to develop field-sampling strategies to reliably capture the spatial heterogeneity of diffusive carbon fluxes from reservoirs.
机译：src =“ http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/esthag/2018/esthag.2018.52.issue-2/acs.est.7b05138/20180111/images/medium /es-2017-05138z_0003.gif“>人造水库散发的二氧化碳（CO 2 ）和甲烷（CH 4 ）的排放量不确定，因为空间变异性通常无法很好地体现。在这里，我们研究了空间变化及其驱动因素，包括分压，气体交换速度（ k ）以及CO 2 和CH 4 的空间分辨测量结果。我们观察到所有三个水库中CO 2 和CH 4 的浓度和通量具有高度的空间变异性，河流入流区通常显示CH 4 浓度升高。相反，靠近大坝的区域通常以低浓度为特征，因此不可能代表整个系统。储层内部瓦斯浓度的很大一部分（44-83％）由溶解氧，pH，叶绿素，水深和储层内位置来解释。观察到 k 的高空间变异性，并且 k CH 4 持续较高（平均高2.5倍） ），而不是 k CO 2 。不考虑储层内浓度和 k 的变异性，可能导致低估CO 2 和CH 4 < / sub>。我们的发现为如何开发现场采样策略以可靠地捕获来自储层的扩散性碳通量的空间异质性提供了有价值的信息。

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  • 来源
    《Environmental Science & Technology》 |2018年第2期|607-615|共9页
  • 作者

    José R. Paranaíba; Nathan Barros; Raquel Mendonça; Annika Linkhorst; Anastasija Isidorova; Fábio Roland; Rafael M. Almeida; Sebastian Sobek;

  • 作者单位

    Institute of Biological Sciences, Federal University of Juiz de Fora, Minas Gerais 36036-900, Brazil;

    Institute of Biological Sciences, Federal University of Juiz de Fora, Minas Gerais 36036-900, Brazil;

    Institute of Biological Sciences, Federal University of Juiz de Fora, Minas Gerais 36036-900, Brazil,Department of Ecology and Genetics, Limnology, Uppsala University, Uppsala 75236, Sweden;

    Department of Ecology and Genetics, Limnology, Uppsala University, Uppsala 75236, Sweden;

    Department of Ecology and Genetics, Limnology, Uppsala University, Uppsala 75236, Sweden;

    Institute of Biological Sciences, Federal University of Juiz de Fora, Minas Gerais 36036-900, Brazil;

    Institute of Biological Sciences, Federal University of Juiz de Fora, Minas Gerais 36036-900, Brazil;

    Department of Ecology and Genetics, Limnology, Uppsala University, Uppsala 75236, Sweden;

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