Combining Models of Root-Zone Hydrology and Geoelectrical Measurements: Recent Advances and Future Prospects

被引:6
作者
Mary, Benjamin [1 ,2 ]
Peruzzo, Luca [2 ]
Ivan, Veronika [1 ]
Facca, Enrico [3 ]
Manoli, Gabriele [4 ]
Putti, Mario [3 ]
Camporese, Matteo [5 ]
Wu, Yuxin [2 ]
Cassiani, Giorgio [1 ]
机构
[1] Univ Padua, Dept Geosci, Padua, Italy
[2] Lawrence Berkeley Natl Lab, Earth & Environm Sci Area, Berkeley, CA USA
[3] Univ Padua, Dept Math Tullio Levi Civita, Padua, Italy
[4] UCL, Dept Civil Environm & Geomat Engn, London, England
[5] Univ Padua, Dept Civil Environm & Architectural Engn, Padua, Italy
来源
FRONTIERS IN WATER | 2021年 / 3卷
关键词
hydrogeophysics; inversion; root water uptake; soil-plant modeling; geoelectrical imaging; data assimilation; Wasserstein distance; ELECTRICAL-RESISTIVITY TOMOGRAPHY; VARIATIONAL DATA ASSIMILATION; SOIL-MOISTURE; HYDROGEOPHYSICAL INVERSION; HYDRAULIC ARCHITECTURE; PARAMETER-ESTIMATION; SOLUTE TRANSPORT; WATER; FLOW; SYSTEMS;
D O I
10.3389/frwa.2021.767910
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
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.
引用
收藏
页数:8
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