Journal Article

FZJ-2018-02195

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Magnetic Resonance Monitoring and Numerical Modeling of Soil Moisture during Evaporation

Merz, S. (Corresponding author)FZJ* ; Balcom, B. J. ; Enjilela, R. ; Vanderborght, J.FZJ* ; Rothfuss, Y.FZJ* ; Vereecken, H.FZJ* ; Pohlmeier, A.FZJ*

2018
SSSA Madison, Wis.

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Please use a persistent id in citations: http://hdl.handle.net/2128/17945  doi:10.2136/vzj2016.10.0099

Abstract: Evaporation from bare soil surfaces can be restrained to a great extent with the development of a dry layer at the soil surface where capillary hydraulic conductance ceases and water flow proceeds only by gas phase transport. Model calculations and preliminary experiments with model porous media have shown that this surface layer can be very thin. An accurate characterization of these processes is required, which is provided by noninvasive magnetic resonance (MR) methods. The evaporative drying of a silt loam and a sandy loam was monitored at high spatial resolution in laboratory experiments. The MR data were used to assess the performance of two numerical models: (i) the Richards equation, which considers isothermal liquid water flow, and (ii) a coupled soil water, heat, and vapor flow numerical model. The experimental results reveal two distinct drying regimes for both soil types where, at the onset of the second evaporation stage, a dry surface zone developed with increasing thickness over time. This layer revealed that water loss inside the soil coincided with a relatively low evaporation rate as the liquid continuity to the soil surface vanished. The modeling results clearly demonstrated the need to consider heat and vapor flow. It was shown, as a proof of principle, that MR relaxation time spectra may serve as a proxy to follow desaturation processes where spatially resolved transverse relaxation can reveal a secondary evaporation front.

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Contributing Institute(s):

1. Agrosphäre (IBG-3)
2. Grundlagen der Elektrochemie (IEK-9)

Research Program(s):

1. 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) (POF3-255)

Appears in the scientific report 2018

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Database coverage:
; ; ; Current Contents - Agriculture, Biology and Environmental Sciences ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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