Geostatistical Approach to Determining the Pressure Head Spatial Distribution along the Center-Pivot Lateral Line
Publication: Journal of Irrigation and Drainage Engineering
Volume 150, Issue 6
Abstract
Irrigation is important for the growth of world agriculture, as it enables greater security in agricultural production. The use of center-pivot for irrigation is very common in Brazil. However, there are some information gaps, mainly related to spatial variability in the water application in variable topography. Thus, the present study aimed to apply the geostatistical approach to characterize and evaluate the magnitude of the pressure head (PH) spatial variability in center-pivot lateral lines operating in plots with variable topography. For this analysis, six different points were installed along the lateral line and measured with PH transducers in 18 lateral line angular positions in the study area. Universal kriging (UK) was used to estimate PH across the whole field. The semivariogram was adjusted by the hole effect theoretical model, indicating a strong spatial dependence on PH. A decision support system tool was developed to assist in the analysis of the PH spatial distribution along the center-pivot lateral line using a geostatistical approach (kriging). The proposed tool can be useful for managers of irrigable areas and to identify zones with high energy use (wasted PH) along lateral lines of center-pivot systems. The estimation of PH distribution using geostatistical and UK techniques was satisfactory, allowing the creation of a thematic map. Precision irrigation and monitoring using a thematic map of PH distribution from kriging can help monitor the operating conditions of a center-pivot, as well as improve the decision-making regarding proper management of the whole irrigation system.
Practical Applications
Center-pivot irrigation systems are very common in agricultural production areas around the world. Due to the large area irrigated by center-pivots, it is very important to study the reduction in water and energy use in these equipment. Thus, an important point to be studied is the PH distribution along the center-pivot lateral line in areas with undulating topography, where there is a significant PH variation. In this study, we present an analysis of the PH distribution along the lateral line using a geostatistical approach (kriging) to obtain PH values in the entire irrigated area. For this, PH data collected at six different points along the lateral line were used in a decision support system tool, developed to estimate PH in the entire irrigated area using the geostatistical approach. This estimate was satisfactory, allowing the creation of a thematic map. The proposed tool proved to be useful for easily identifying zones with high energy use (wasted PH). In this way, the use of precision irrigation and the analysis of the equipment through thematic mapping can help irrigators in monitoring the operating conditions of a center-pivot.
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Data Availability Statement
All data, models, and code generated or used during this study appear in the published article.
Acknowledgments
The authors would like to thank the Itograss Agrícola Ltda. for granting the equipment for the study, the Foundation for Supporting Research of the State of Minas Gerais (FAPEMIG) for the author’s scholarship, the National Council for Scientific and Technological Development (CNPq) for the financing of equipment, and the Coordination for the Improvement of Higher Education Personnel (Capes) for the granting of scholarships. The many useful comments made by three anonymous reviewers are gratefully acknowledged.
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Received: May 3, 2023
Accepted: Jun 10, 2024
Published online: Aug 21, 2024
Published in print: Dec 1, 2024
Discussion open until: Jan 21, 2025
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