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Continuous monitoring and modeling of soil and atmospheric carbon dioxide dynamics in semiarid ecosystems.

机译:持续监测和模拟半干旱生态系统中土壤和大气中二氧化碳的动态变化。

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Global warming has generated growing interest in the measurement, modeling and prediction of carbon flux emissions from the soil surface. The objectives of this research were (1) to develop and test a novel soil CO2 gradient-based flux determination system using laboratory and greenhouse studies, (2) to develop a model describing CO2 production and transport in soil, based on physical equations and semi-empirical determined functions and (3) to compare the eddy covariance atmospheric CO2 flux with soil surface emissions.; The gradient-based flux determination is derived from continuous subsurface monitoring of CO2 concentration at various depths, and application of Fick's law of diffusion. In an initial greenhouse study, water was periodically added to observe the effect of transient water content on soil gas diffusivity and surface CO2 flux. Standard surface soil-chamber flux measurements were in good agreement with the flux determined from concentration gradients measured using the new system.; Soil CO2 production and transport were modeled using a numerical 1-D model built on a set of physical equations describing water and heat flow in the soil, microbial CO2 production, CO2 dissolution in the soil water, and diffusion of CO2 in the gas phase of the soil. In-situ measurements using the gradient method during the growing season of annual grassland vegetation, typical for the Great Basin semi-arid ecosystem, were used to calibrate the model. Diurnal variations of soil CO2 concentration and changes in the magnitude of the mean soil CO2 concentration, were accurately predicted by the model simulations. Soil CO 2 surface flux, determined using the model and the sub-surface measurements, was compared to atmospheric CO2 flux measured with the eddy-covariance technique in the same ecosystem. The comparison demonstrated the feasibility of using continuous soil CO2 flux data as a potential nighttime gap filling strategy in studies of net ecosystem exchange. The new gradient based measurement method and the numerical model provided insights into soil CO2 concentration and surface flux dynamics in a wide range of soil moisture and temperature conditions, and enabled observation of soil CO2 production and transport not available from other commonly used techniques.
机译:全球变暖引起了对土壤表面碳通量排放的测量,建模和预测的日益增长的兴趣。这项研究的目的是(1)使用实验室和温室研究开发和测试基于土壤CO2梯度的新型通量测定系统,(2)根据物理方程和半方程式建立描述土壤中CO2产生和迁移的模型确定的经验函数;(3)比较涡旋协方差大气CO2通量与土壤表层排放。基于梯度的通量确定源自对不同深度的CO2浓度的连续地下监测以及菲克扩散定律的应用。在最初的温室研究中,定期添加水以观察瞬时水分含量对土壤气体扩散性和表面CO2通量的影响。标准地面土壤室通量测量值与使用新系统测得的浓度梯度确定的通量值非常吻合。土壤CO2的产生和运输使用一维数值模型进行建模,该模型建立在一组物理方程组上,该方程组描述了土壤中的水和热流,微生物CO2的产生,土壤中CO2的溶解以及二氧化碳在气相中的扩散。土壤。在大盆地半干旱生态系统典型的一年生草地植被生长季节,使用梯度法进行了实地测量,以校准该模型。通过模型模拟可以准确预测土壤CO2浓度的日变化和平均土壤CO2浓度的变化。使用该模型和地下测量确定的土壤CO 2表面通量与在同一生态系统中用涡度协方差技术测量的大气CO 2通量进行了比较。比较结果表明,在进行净生态系统交换研究中,使用连续的土壤CO2通量数据作为潜在的夜间缺口填充策略是可行的。新的基于梯度的测量方法和数值模型提供了对土壤CO2浓度和各种土壤湿度和温度条件下的表面通量动态的洞察力,并使人们能够观察到其他常用技术无法获得的土壤CO2产生和运输。

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