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Modeling carbon dioxide transport in unsaturated soils

机译:模拟非饱和土壤中的二氧化碳迁移

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摘要

Transport of carbon dioxide in the unsaturated zone is important to soil geochemistry and vegetation health. In addition, CO_2 monitoring in unsaturated soils may shed light on various human-instigated activities involving manipulation of the carbon cycle. Examples of human activities that can impact the unsaturated zone include imposed changes in vegetation type and distribution, and deliberate injection of CO_2 into deep subsurface formations. Both manipulation of vegetation and injection of CO_2 are potential options for mitigation of the greenhouse gas and global warming problems. Changes in plant type and density, and leakage of CO_2 from deep to shallow subsurface zones, can impact the unsaturated zone. Because CO_2 is denser than air, transport in the unsaturated zone may show significant density dependence. In addition, careful analysis shows that a newly derived 'slip coupling' term might also be important in these gaseous systems. In this work, we present the general governing equations for CO_2 migration in unsaturated soils for a variety of boundary and initial conditions. A one-dimensional numerical model is used to investigate CO_2 migration under different leakage scenarios, where the leakage is assumed to be associated with large-scale injection operations as part of a deep-aquifer carbon storage strategy. We demonstrate how CO_2 migrates in the unsaturated zone, how the resulting distribution compares to natural background distributions, and what the results may imply both for monitoring strategies and for vegetation and ecosystem health.
机译:二氧化碳在非饱和区的传输对土壤地球化学和植被健康很重要。此外,在不饱和土壤中监测CO_2可能会揭示各种人类操纵的活动,包括操纵碳循环。可能影响非饱和区的人类活动的示例包括植被类型和分布的强加变化,以及故意将CO_2注入深层地下地层。操纵植被和注入CO_2都是缓解温室气体和全球变暖问题的潜在选择。植物类型和密度的变化,以及CO_2从深部到浅部地下区域的泄漏,都可能影响非饱和区域。由于CO_2比空气更稠密,因此在非饱和区的传输可能显示出明显的密度依赖性。此外,仔细的分析表明,在这些气体系统中,新衍生的“滑动耦合”一词也可能很重要。在这项工作中,我们提出了在各种边界条件和初始条件下非饱和土壤中CO_2迁移的一般控制方程。一维数值模型用于研究不同泄漏情景下的CO_2运移,其中假定泄漏与大规模注入作业有关,这是深层碳储藏策略的一部分。我们演示了CO_2如何在非饱和区中迁移,所得分布与自然背景分布相比如何以及结果可能暗示着监测策略以及植被和生态系统健康。

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