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Geosciences 2018, 8(2), 72; https://doi.org/10.3390/geosciences8020072

Vadose Zone Modeling in a Small Forested Catchment: Impact of Water Pressure Head Sampling Frequency on 1D-Model Calibration

Université de Strasbourg, CNRS, ENGEES, LHYGES UMR 7517, F-67000 Strasbourg, France
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Received: 19 January 2018 / Revised: 12 February 2018 / Accepted: 13 February 2018 / Published: 18 February 2018
(This article belongs to the Special Issue Soil Hydrology and Erosion)
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Abstract

The characterization of vadose zone processes is a primary goal for understanding, predicting, and managing water resources. In this study, the issue of soil water monitoring on a vertical profile in the small forested Strengbach catchment (France) is investigated using numerical modeling with the long-term sequences 1D-Richards’ equation and parameter estimation through an inverse technique. Three matric potential sensors produce the observation data, and the meteorological data is monitored using an automatic weather station. The scientific questions address the selection of the calibration sequence, the initial starting point for inverse optimization and monitoring frequency used in the inverse procedure. As expected, our results show that the highly variable data period used for the calibration provides better estimations when simulating the long-term sequence. For the starting point of the initial parameters, handmade iterative initial parameters estimation leads to better results than a laboratory analysis or set of ROSETTA parameters. Concerning the frequency of monitoring, weekly and daily datasets provide efficient results compared to hourly data. As reported in other articles, the accuracy of the boundary conditions is important for estimating soil hydraulic parameters and accessing water stored in the layered profile. View Full-Text
Keywords: forested catchment; hydrology; sensor monitoring; matric potential; parameter estimation; numerical modeling; one-dimensional simulations forested catchment; hydrology; sensor monitoring; matric potential; parameter estimation; numerical modeling; one-dimensional simulations
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Belfort, B.; Toloni, I.; Ackerer, P.; Cotel, S.; Viville, D.; Lehmann, F. Vadose Zone Modeling in a Small Forested Catchment: Impact of Water Pressure Head Sampling Frequency on 1D-Model Calibration. Geosciences 2018, 8, 72.

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