Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/hess-2016-507
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
28 Nov 2016
Review status
This discussion paper is a preprint. It has been under review for the journal Hydrology and Earth System Sciences (HESS). The revised manuscript was not accepted.
Simulations of water, heat, and solute transport in partially frozen soils
Mousong Wu1,2, Per-Erik Jansson2, Xiao Tan1, Jiesheng Huang1, and Jingwei Wu1 1State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 430072 Wuhan, Hubei, China
2Department of Sustainable Development, Environmental Science and Engineering, KTH Royal Institute of Technology, 10044 Stockholm, Sweden
Abstract. Experiments for soil freezing/thawing were conducted in two seasonally frozen agricultural fields in northern China during 2011/2012 and 2012/2013 wintertime, respectively. Mass balance was checked based on measured data at various depths. Simulation work was conducted by combining CoupModel with Monte-Carlo sampling method to achieve parameter sets with equally good performance. Uncertainties existed in both measurements and model due to complexity in freezing/thawing processes as well as in surface energy partitioning. Parameters related to surface radiation and soil frost were strongly constrained with datasets available in two sites combining multi-criterion on outputs. Simulated soil heat processes were better described than soil water processes given the data obtained for calibration. Model performance was improved with consideration of solute effects on freezing point depression. More detailed solute transport processes in CoupModel needed to be improved by taking more processes such as diffusion and expulsion into consideration based on more precise experimental results, to reduce uncertainty in model. Generally, combination of measurement with process-based model and Monte-Carlo sampling method provided an approach for understanding of solute transport as well as its influences on soil freezing/thawing in cold arid agricultural regions. Incorporating more detailed descriptions of processes for frozen soil in the model can be justified if uncertainties in measurements can be reduced by introducing of high-precision novel technologies.

Citation: Wu, M., Jansson, P.-E., Tan, X., Huang, J., and Wu, J.: Simulations of water, heat, and solute transport in partially frozen soils, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-507, 2016.
Mousong Wu et al.
Mousong Wu et al.

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