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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MDPI AG
2023-04-01
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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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institution | Directory Open Access Journal |
issn | 2073-4441 |
language | English |
last_indexed | 2024-03-11T04:26:13Z |
publishDate | 2023-04-01 |
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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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