EGU2020-6033
https://doi.org/10.5194/egusphere-egu2020-6033
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Hydrology of plants: Modeling the interaction between infiltration and evapotranspiration.

Concetta D'Amato1, Niccolò Tubini2, Michele Bottazzi3, Leonardo Noto4, and Riccardo Rigon5
Concetta D'Amato et al.
  • 1University of Trento, C3A, Italy (concetta.damato@unitn.it)
  • 2University of Trento, DICAM, Italy (niccolo.tubini@unitn.it)
  • 3University of Trento, DICAM, Italy (michele.bottazzi@unitn.it)
  • 4Università degli Studi di Palermo, DICAM, Italy (leonardo.noto@unipa.it)
  • 5University of Trento, DICAM, Italy (riccardo.rigon@unitn.it)

It is known that measuring and modeling of water and solute fluxes across soil-plant-atmosphere is nowadays a very important challenge because of the complexity of both soil and plants. In particular evapotranspiration (Schymanski and Or, 2017) is related with radiation, temperature, relative humidity, wind but it depends also by the water content in soil. Specifically, the water content varies with precipitation and with the water properties of soil, soil water retention curves and soil hydraulic conductivity.  
To consider the effects of water content on the rate of evapotranspiration it is necessary to study infiltration and evapotranspiration processes and find a physical, but also, a modelling point of view to coupled these processes.  


Considering the 1D problem we implement a virtual lysimeter model in which we coupled infiltration and evapotranspiration by using stress factor (Collatz at all, 1991), with which we can compute effective evapotranspiration and remove it from Richards’ equation balance (Casulli and Zanolli, 2010). In addition, the modeling of water and solute fluxes across soil-plant-atmosphere is made possible by implementation of travel times of waters within vegetation, the growing of the roots and in general the growing of the plants. 


Casulli e Zanolli, 2010. A Nested Newton-type algorithm for finite volume methods solving Richards’ equation in mixed form. SIAM J. SCI. COMPUT. Vol. 32, No. 4, pp. 2255–2273.

G. James Collatz, J. Timothy Ball, Cyril Grivet and Joseph A. Berry, 1991. Physiological and environmental regulation of stomatal conductance, photosynthesis and transpiration: a model that includes a laminar boundary layer. Agricultural and Forest Meteorology, Vol. 54, pp. 107-136.

P.M. Cox, C. Huntingford, R.J. Harding, 1998. A canopy conductance and photosynthesis model for use in a GCM land surface scheme. Journal of Hydrology 212–213, 79–94.

Jarvis, P.G., 1976. The interpretation of the variances in leaf water potential and stomatal conductance found in canopies in the field. Phil. Trans. Roy. Soc. Lond. B273, 593–610.

Stanislaus J. Schymanski and Dani Or, 2017. Leaf-scale experiments reveal an important omission in the Penman–Monteith equation. Hydrol. Earth Syst. Sci., 21, 685–706.

How to cite: D'Amato, C., Tubini, N., Bottazzi, M., Noto, L., and Rigon, R.: Hydrology of plants: Modeling the interaction between infiltration and evapotranspiration., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6033, https://doi.org/10.5194/egusphere-egu2020-6033, 2020

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