Mary, B;
Peruzzo, L;
Iván, V;
Facca, E;
Manoli, G;
Putti, M;
Camporese, M;
... Cassiani, G; + view all
(2021)
Combining Models of Root-Zone Hydrology and Geoelectrical Measurements: Recent Advances and Future Prospects.
Frontiers in Water
, 3
, Article 767910. 10.3389/frwa.2021.767910.
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Abstract
Recent advances in measuring and modeling root water uptake along with refined electrical petrophysical models may help fill the existing gap in hydrological root model parametrization. In this paper, we discuss the choices to be made to combine root-zone hydrology and geoelectrical data with the aim of characterizing the active root zone. For each model and observation type we discuss sources of uncertainty and how they are commonly addressed in a stochastic inversion framework. We point out different degrees of integration in the existing hydrogeophysical approaches to parametrize models of root-zone hydrology. This paper aims at giving emphasis to stochastic approaches, in particular to Data Assimilation (DA) schemes, that are generally identified as the best way to combine geoelectrical data with Root Water Uptake (RWU) models. In addition, the study points out a more suitable objective function taken from the optimal transport theory that better captures complex geometry of root systems. Another pathway for improvement of geoelectrical data integration into RWU models using DA relies on the use of stem based methods as a leverage to introduce more extensive root knowledge into RWU macroscopic hydrological models.
Type: | Article |
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Title: | Combining Models of Root-Zone Hydrology and Geoelectrical Measurements: Recent Advances and Future Prospects |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.3389/frwa.2021.767910 |
Publisher version: | https://doi.org/10.3389/frwa.2021.767910 |
Language: | English |
Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Hydrogeophysics, inversion, root water uptake, soil-plant modeling, geoelectrical imaging, data assimilation, Wasserstein distance |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10142110 |
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