WINDS Model Demonstration with Field Data from a Furrow-Irrigated Cotton Experiment

The WINDS (Water-Use, Irrigation, Nitrogen, Drainage, and Salinity) model was developed to provide decision support for irrigated-crop management in the U.S. Southwest. The model uses a daily time-step soil water balance (SWB) to simulate the dynamics of water content in the soil profile and evapotr...

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Main Authors: Hadiqa Maqsood, Douglas J. Hunsaker, Peter Waller, Kelly R. Thorp, Andrew French, Diaa Eldin Elshikha, Reid Loeffler
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/15/8/1544
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author Hadiqa Maqsood
Douglas J. Hunsaker
Peter Waller
Kelly R. Thorp
Andrew French
Diaa Eldin Elshikha
Reid Loeffler
author_facet Hadiqa Maqsood
Douglas J. Hunsaker
Peter Waller
Kelly R. Thorp
Andrew French
Diaa Eldin Elshikha
Reid Loeffler
author_sort Hadiqa Maqsood
collection DOAJ
description The WINDS (Water-Use, Irrigation, Nitrogen, Drainage, and Salinity) model was developed to provide decision support for irrigated-crop management in the U.S. Southwest. The model uses a daily time-step soil water balance (SWB) to simulate the dynamics of water content in the soil profile and evapotranspiration. The model employs a tipping bucket approach during infiltration events and Richards’ equation between infiltration events. This research demonstrates WINDS simulation of a furrow-irrigated cotton experiment, conducted in 2007 in central Arizona, U.S. Calibration procedures for WINDS include the crop coefficient curve or segmented crop coefficient curve, rate of root growth, and root activity during the growing season. In this research, field capacity and wilting point were measured in the laboratory at each location and in each layer. Field measurements included water contents in layers by neutron moisture meter (NMM), irrigation, crop growth, final yield, and actual ET<sub>c</sub> derived by SWB. The calibrated WINDS model was compared to the neutron probe moisture contents. The average coefficient of determination was 0.92, and average root mean squared error (RMSE) was 0.027 m<sup>3</sup> m<sup>−3</sup>. The study also demonstrated WINDS ability to reproduce measured crop evapotranspiration (ET<sub>c</sub> actual) during the growing season. This paper introduces the online WINDS model.
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spelling doaj.art-77331fa59672495ea8d4b97fdc108a842023-11-17T21:48:38ZengMDPI AGWater2073-44412023-04-01158154410.3390/w15081544WINDS Model Demonstration with Field Data from a Furrow-Irrigated Cotton ExperimentHadiqa Maqsood0Douglas J. Hunsaker1Peter Waller2Kelly R. Thorp3Andrew French4Diaa Eldin Elshikha5Reid Loeffler6Department of Biosystems Engineering, University of Arizona, Tucson, AZ 85721, USAUSDA-ARS, Arid Land Agricultural Research Center, Maricopa, AZ 85138, USADepartment of Biosystems Engineering, University of Arizona, Tucson, AZ 85721, USAUSDA-ARS, Arid Land Agricultural Research Center, Maricopa, AZ 85138, USAUSDA-ARS, Arid Land Agricultural Research Center, Maricopa, AZ 85138, USADepartment of Biosystems Engineering, University of Arizona, Tucson, AZ 85721, USADepartment of Biosystems Engineering, University of Arizona, Tucson, AZ 85721, USAThe WINDS (Water-Use, Irrigation, Nitrogen, Drainage, and Salinity) model was developed to provide decision support for irrigated-crop management in the U.S. Southwest. The model uses a daily time-step soil water balance (SWB) to simulate the dynamics of water content in the soil profile and evapotranspiration. The model employs a tipping bucket approach during infiltration events and Richards’ equation between infiltration events. This research demonstrates WINDS simulation of a furrow-irrigated cotton experiment, conducted in 2007 in central Arizona, U.S. Calibration procedures for WINDS include the crop coefficient curve or segmented crop coefficient curve, rate of root growth, and root activity during the growing season. In this research, field capacity and wilting point were measured in the laboratory at each location and in each layer. Field measurements included water contents in layers by neutron moisture meter (NMM), irrigation, crop growth, final yield, and actual ET<sub>c</sub> derived by SWB. The calibrated WINDS model was compared to the neutron probe moisture contents. The average coefficient of determination was 0.92, and average root mean squared error (RMSE) was 0.027 m<sup>3</sup> m<sup>−3</sup>. The study also demonstrated WINDS ability to reproduce measured crop evapotranspiration (ET<sub>c</sub> actual) during the growing season. This paper introduces the online WINDS model.https://www.mdpi.com/2073-4441/15/8/1544irrigation schedulingmodelevapotranspirationsoil waterroot activitycotton
spellingShingle Hadiqa Maqsood
Douglas J. Hunsaker
Peter Waller
Kelly R. Thorp
Andrew French
Diaa Eldin Elshikha
Reid Loeffler
WINDS Model Demonstration with Field Data from a Furrow-Irrigated Cotton Experiment
Water
irrigation scheduling
model
evapotranspiration
soil water
root activity
cotton
title WINDS Model Demonstration with Field Data from a Furrow-Irrigated Cotton Experiment
title_full WINDS Model Demonstration with Field Data from a Furrow-Irrigated Cotton Experiment
title_fullStr WINDS Model Demonstration with Field Data from a Furrow-Irrigated Cotton Experiment
title_full_unstemmed WINDS Model Demonstration with Field Data from a Furrow-Irrigated Cotton Experiment
title_short WINDS Model Demonstration with Field Data from a Furrow-Irrigated Cotton Experiment
title_sort winds model demonstration with field data from a furrow irrigated cotton experiment
topic irrigation scheduling
model
evapotranspiration
soil water
root activity
cotton
url https://www.mdpi.com/2073-4441/15/8/1544
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