Analytic description of the moving moisture front in soils
Bettina Detmann, Chiara Gavioli, Pavel Krejčí, Yanyan Zhang
TL;DR
This work analyzes moisture transport in soils governed by a degenerate Richards equation with bounded suction via the Rossi–Nimmo model. It develops a rigorous analytical framework establishing existence and uniqueness of solutions with compactly supported initial data, and derives explicit upper bounds for front propagation that reveal anisotropy: lateral spreading scales as $\sqrt{t}$ due to diffusion, while downward propagation scales as $t$ due to gravity, with upward capillary rise arrested or reversed depending on soil parameters encoded in $P(u)=f'(u)/g(u)$. The authors construct traveling-wave supersolutions and use geometric envelope arguments to bound the evolving wet region and characterize its shape, confirming an egg-shaped footprint in appropriate regimes and providing detailed asymptotics. Numerical tests across several $P(v)$ profiles corroborate the theory and align with laboratory observations of wetting bulbs in sand, highlighting practical implications for irrigation and contaminant transport modeling.
Abstract
The fact that moisture propagates in soils at a finite speed is confirmed by natural everyday experience as well as by controlled laboratory tests. In this text, we rigorously derive analytical upper bounds for the speed of moisture front propagation under gravity for the solution to the Richards equation with compactly supported initial data. The main result is an explicit criterion describing a competition between gravity and capillarity, where the dominant effect is determined by the characteristics of the soil. If capillarity prevails, the initially wet regions remain wet for all times, while if gravity is dominant, moisture travels downward at a speed that is asymptotically bounded from below and above. As a by-product, we prove the existence and uniqueness of a solution to an initial value problem for the degenerate Richards equation on the whole space. Numerical simulations based on the proposed model confirm the theoretical predictions, with results that closely match experimental observations.
