Parameterization of Soil Hydraulic Parameters for HYDRUS-3D Simulation of Soil Water Dynamics in a Drip-Irrigated Orchard
Author
Domínguez-Niño, Jesús María
Arbat, Gerard
Raij-Hoffman, Iael
Kisekka, Isaya
Casadesús, Jaume
Publication date
2020-06-28ISSN
2073-4441
Abstract
Although surface drip irrigation allows an efficient use of water in agriculture, the heterogeneous distribution of soil water complicates its optimal usage. Mathematical models can be used to simulate the dynamics of water in the soil below a dripper and promote: a better understanding, and optimization, of the design of drip irrigation systems, their improved management and their monitoring with soil moisture sensors. The aim of this paper was to find the most appropriate configuration of HYDRUS-3D for simulating the soil water dynamics in a drip-irrigated orchard. Special emphasis was placed on the source of the soil hydraulic parameters. Simulations parameterized using the Rosetta approach were therefore compared with others parameterized using that of HYPROP + WP4C. The simulations were validated on a seasonal scale, against measurements made using a neutron probe, and on the time course of several days, against tensiometers. The results showed that the best agreement with soil moisture measurements was achieved with simulations parameterized from HYPROP + WP4C. It further improved when the shape parameter n was empirically calibrated from a subset of neutron probe measurements. The fit of the simulations with measurements was best at positions near the dripper and worsened at positions outside its wetting pattern and at depths of 80 cm or more.
Document Type
Article
Document version
Published version
Language
English
Subject (CDU)
631 - Agriculture in general
Pages
25
Publisher
MDPI
Is part of
Water
Citation
Domínguez-Niño, Jesús María, Gerard Arbat, Iael Raij-Hoffman, Isaya Kisekka, Joan Girona, and Jaume Casadesús. 2020. "Parameterization Of Soil Hydraulic Parameters For HYDRUS-3D Simulation Of Soil Water Dynamics In A Drip-Irrigated Orchard". Water 12 (7): 1858. doi:10.3390/w12071858.
Grant agreement number
INIA/Programa Estatal de promoción del talento y su empleabilidad en I+D+I/RTA2013-00045-C04-01/ES/Incorporación de inteligencia artificial en los algoritmos de reprogramación del riego localizado/
Program
Ús Eficient de l'Aigua en Agricultura
This item appears in the following Collection(s)
- ARTICLES CIENTÍFICS [2337]
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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/