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Modelling multiseasonal preferential transport of dissolved organic carbon in a shallow forest soil: Equilibrium versus kinetic sorption

机译:模拟浅层森林土壤中溶解有机碳的多季节优先运输:平衡与动态吸附

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摘要

Parameterization of transformation and transport processes of dissolved organic carbon (DOC) in soils is challenging especially under variable hydrological conditions. In this study, DOC concentrations in stormflow were analysed with a physically based modelling approach. A one-dimensional dual-continuum vertical flow and transport model was applied to simulate subsurface processes in a macroporous forest hillslope soil over a period of 4.5 years. Microbially mediated transformations of DOC were assumed to depend primarily on soil moisture and soil temperature. Two conceptually different descriptions of the sorption of DOC to soil were examined with equilibrium and kinetic approaches. In order to quantify the uncertainties associated with the model parameterization, Monte Carlo analyses in conjunction with Latin hypercube sampling was performed. Despite the complexity of microbial transformations, the simulated temporal patterns of DOC concentrations in stormflow showed similar behaviour to those reflected in the observed DOC fluxes. Due to preferential flow, the hillslope DOC export (5.0 +/- 0.5 g C center dot m(-2) center dot year(-1)) was higher than the amounts usually reported in the literature. Overall DOC transport in hillslope scenarios could be described appropriately using the equilibrium sorption assumption. The performed analyses showed that the inclusion of the kinetic description of DOC sorption only slightly improved the predictions of the DOC hillslope export. Moreover, influences of seasonal hydro-climatological conditions on hillslope export of DOC could be observed. Reduced DOC transport during an extreme warm and dry summer was described with lower accuracy, thus indicating the difficulties in the representation of DOC transformations under dry conditions.
机译:土壤中溶解性有机碳(DOC)的转化和迁移过程的参数设置极具挑战性,尤其是在变化的水文条件下。在这项研究中,使用基于物理的建模方法分析了暴风雨中的DOC浓度。应用一维双连续体垂直流和运移模型来模拟大孔森林山坡土壤在4.5年内的地下过程。假定微生物介导的DOC转化主要取决于土壤水分和土壤温度。通过平衡和动力学方法研究了两种在概念上不同的DOC对土壤的吸附描述。为了量化与模型参数化相关的不确定性,结合进行了拉丁超立方体采样的蒙特卡洛分析。尽管微生物转化非常复杂,但是风暴流中DOC浓度的模拟时间模式显示出与观察到的DOC通量相似的行为。由于优先流动,山坡DOC出口量(5.0 +/- 0.5 g C中心点m(-2)中心点年(-1))高于文献中通常报道的数量。可以使用平衡吸附假设适当地描述山坡情景中的总DOC运移。进行的分析表明,包含DOC吸附的动力学描述仅略微改善了DOC山坡出口的预测。此外,可以观察到季节性的水文气候条件对DOC坡面出口的影响。描述了在极端温暖和干燥的夏季减少的DOC传输,其准确性较低,这表明在干燥条件下很难表示DOC转化。

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