Dynamics of dissolved organic carbon in hillslope discharge: Modeling and challenges

被引:21
作者
Dusek, Jaromir [1 ]
Vogel, Tomas [1 ]
Dohnal, Michal [1 ]
Barth, Johannes A. C. [2 ]
Sanda, Martin [1 ]
Marx, Anne [2 ]
Jankovec, Jakub [1 ]
机构
[1] Czech Tech Univ, Fac Civil Engn, Prague, Czech Republic
[2] Friedrich Alexander Univ Erlangen Nuremberg, Dept Geog & Earth Sci, Erlangen, Germany
关键词
Water oxygen isotope; Dissolved organic carbon; Preferential transport; Dual-permeability model; DOC sorption; DOC decomposition; Monte Carlo analysis; HEADWATER CATCHMENT; PREFERENTIAL FLOW; WATER; SOIL; MATTER; TRANSPORT; SORPTION; FOREST; ADSORPTION; SCALE;
D O I
10.1016/j.jhydrol.2016.12.054
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Reliable quantitative prediction of water movement and fluxes of dissolved substances - specifically organic carbon - at both the hillslope and the catchment scales remains a challenge due to complex boundary conditions and soil spatial heterogeneity. In addition, microbially mediated transformations of dissolved organic carbon (DOC) are recognized to determine the balance of DOC in soils. So far, only few studies utilized stable water isotope information in modeling and even fewer linked dissolved carbon fluxes to mixing and/or transport models. In this study, stormflow dynamics of O-18/O-16 ratios in the water molecules (expressed as delta O-18) and DOC were analyzed using a physically-based modeling approach. A one-dimensional dual-continuum vertical flow and transport model was used to simulate the subsurface transport processes in a forest hillslope soil over a period of 2.5 years. The model was applied to describe the transformation of input signals of delta O-18 and DOC into output signals observed in the hillslope storm-flow. To quantify uncertainty associated with the model parameterization, Monte Carlo analysis in conjunction with Latin hypercube sampling was applied. delta O-18 variations in hillslope discharge and in soil pore water were predicted reasonably well. Despite the complex nature of microbial transformations that caused uncertainty in model parameters and subsequent prediction of DOC transport, the simulated temporal patterns of DOC concentration in stormflow showed similar behavior to that reflected in the observed DOC fluxes. Due to preferential flow, the contribution of the hillslope DOC export was higher than the amounts that are usually found in the available literature. (c) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:309 / 325
页数:17
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