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The use of ERT to identity irrigatation patterns and efficiency in potato fields
Manhaeghe, Thibault; Wagner, F.; Astic, T. et al.
2021In 17th Conference and Exhibition Engineering and Mining Geophysics 2021
 

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Keywords :
'Dry' [; Electrical resistivity tomography; High water; Measurement process; Micro topography; Plant systems; Shallow root system; Uncertainty; Water flux; Water needs; Geotechnical Engineering and Engineering Geology; Industrial and Manufacturing Engineering; Geochemistry and Petrology; Geophysics
Abstract :
[en] Potatoes often need irrigation during dry summer weeks, because of their shallow root system, high water needs, and drought sensitivity. Lack of water at crucial moments can result in low tuber yield and loss of tuber quality. Farmers typically adopt a ridge-furrow plant system in which the fate of rain and irrigation water is not well known. As the incoming water is partitioned by plant leaves and by the microtopography itself, the boundary conditions for hydrological modelling (i.e. spatial distribution of incoming water fluxes) for agricultural decision-making are uncertain. There is a need to develop a better understanding of water and nutrient fluxes, especially under irrigated conditions. Non-invasive imaging techniques, such as electrical resistivity tomography (ERT) are increasingly used in the agricultural context to characterize soil moisture dynamics. Nevertheless, non-uniqueness of the inversion, and errors induced by uncertainties related to the measurement process, still weigh on the application of ERT to high-resolution agricultural problems. In this paper, we explore the artefacts we can expect originating from uncertainties during the ERT measurement process using a virtual experiment. We then show the results of a monitoring experiment performed in a potato field in 2018. Although some artefacts are to be expected from microtopography uncertainty in potato ridge-furrow systems, timelapse ERT monitoring remains a valuable tool to reveal infiltration and soil redistribution patterns after irrigation events. As inversion artefacts due to microtopography uncertainty typically occur in places where we also expect to see rapid soil moisture changes, due to root water uptake, an assessment of the changes of microtopography over the course of the experiment is required to reach reliable and quantitative tomograms. Nevertheless, ERT is a very promising tool to better understand spatio-temporal water dynamics in irrigated potato furrow-ridge plant systems, especially when looking at time-lapse differences during infiltration or water uptake processes and in cases of minor to moderate erosion of the ridges.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Manhaeghe, Thibault ;  Université de Liège - ULiège
Wagner, F.;  Institute for Applied Geophysics and Geothermal Energy, RWTH Aachen University
Astic, T.;  University of British Columbia
Fournier, D.;  University of British Columbia
Janssens, P.;  Soil service of Belgium BDB
Garre, S.;  Research Institue for Agriculture, Fisheries and Food ; Liège Université ULiège
Language :
English
Title :
The use of ERT to identity irrigatation patterns and efficiency in potato fields
Publication date :
2021
Event name :
Engineering and Mining Geophysics 2021
Event place :
Gelendzhik, Rus
Event date :
26-04-2021 => 30-04-2021
Audience :
International
Main work title :
17th Conference and Exhibition Engineering and Mining Geophysics 2021
Publisher :
European Association of Geoscientists and Engineers, EAGE
ISBN/EAN :
9789462823723
Funding text :
This paper is the result of an MSc thesis experiment within the POTENTIAL project, funded by ERANET Cofund with Water JPI 2015 (FNRS grant R.50.05.17.F). We would like to thank oenK anV Eyck, farmer of the field in which we conducted this experiment, for his availability and help. The agronomic field experiment was set up by our project partners from the Soil Service of Belgium. Aerial data (drone, satellite) were made available by Isabelle Piccard, from our project partner IV TO.
Available on ORBi :
since 27 August 2022

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