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An open-source instrumentation package for intensive soil hydraulic characterization

Authors :
Harsh M. Bhanderi
Majdi Abou Najm
M. L. Gaur
Simone Di Prima
Rafael Angulo-Jaramillo
Paola Concialdi
Laurent Lassabatere
Ryan D. Stewart
Department of Agriculture, Food and Forest Sciences, University of Palermo
University of Sassari
Laboratoire d'Ecologie des Hydrosystèmes Naturels et Anthropisés (LEHNA)
Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS)
College of Agricultural Engineering
Anand Agricultural University
School of Plant and Environmental Sciences
Virginia Polytechnic Institute and State University [Blacksburg]
Department of Land, Air and Water Resources
University of California [Davis] (UC Davis)
University of California-University of California
Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL)
Department of Agricultural Sciences
Virginia Polytechnic Institute and State University
Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)
Concialdi P.
Di Prima S.
Bhanderi H.M.
Stewart R.D.
Abou Najm M.R.
Lal Gaur M.
Angulo-Jaramillo R.
Lassabatere L.
Source :
Journal of Hydrology, Journal of Hydrology, Elsevier, 2020, 582, pp.124492. ⟨10.1016/j.jhydrol.2019.124492⟩
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

International audience; We present a new open-source and modular instrumentation package composed of up to ten automatic in- filtrometers connected to data acquisition systems for automatic recording of multiple infiltration experiments. The infiltrometers are equipped with differential transducers to monitor water level changes in a Mariotte re- servoir, and, in turn, to quantify water infiltration rates. The data acquisition systems consist of low-cost components and operate on the open-source microcontroller platform Arduino. The devices were tested both in the laboratory and on different urban and agricultural soils in France and India. More specifically, we tested three procedures to treat the transducers readings, including a filtering algorithm that substantially improved the ability to determine cumulative infiltration from raw data. We combined these three procedures with four methods for estimating the soil parameters from infiltrometer data, showing pros and cons of each scenario. We also demonstrated advantages in using the automatic infiltrometers when infiltration measurements were hin- dered by: i) linearity in cumulative infiltration curves owing to gravity-driven flow, ii) an imprecise description of the transient state of infiltration, and iii) the occurrence of soil water repellency. The use of the automatic infiltrometers allows the user to obtain more accurate estimates of soil hydraulic parameters, while also reducing the amount of effort needed to run multiple experiments.

Details

Language :
English
ISSN :
00221694
Database :
OpenAIRE
Journal :
Journal of Hydrology, Journal of Hydrology, Elsevier, 2020, 582, pp.124492. ⟨10.1016/j.jhydrol.2019.124492⟩
Accession number :
edsair.doi.dedup.....01ed0a6a219fa4066e83e46e3eefa004
Full Text :
https://doi.org/10.1016/j.jhydrol.2019.124492⟩