Geostatistical Approach to Determining the Pressure Head Spatial Distribution along the Center-Pivot Lateral Line

被引:0
|
作者
Barbosa, Brenon Diennevan Souza [1 ]
Ferraz, Gabriel Araujo e Silva [1 ]
Colombo, Alberto [2 ]
dos Santos, Luana Mendes [1 ]
de Oliveira, Marcelo Silva [3 ]
Nilsson, Matheus Sterzo [4 ]
Schwerz, Felipe [1 ]
da Silva Baptista, Victor Buono [2 ]
机构
[1] Univ Fed Lavras, Dept Agr Engn, Campus Univ,POB 3037, BR-37200900 Lavras, MG, Brazil
[2] Univ Fed Lavras, Dept Water Resources, Campus Univ,POB 3037, BR-37200900 Lavras, MG, Brazil
[3] Univ Fed Lavras, Dept Stat, Campus Univ,POB 3037, BR-37200900 Lavras, MG, Brazil
[4] Univ Sao Paulo, Coll Agr Luiz de Queiroz, Dept Biosyst Engn, BR-13418900 Piracicaba, SP, Brazil
关键词
Precision irrigation; Universal kriging (UK); Hole effect model; Energy use; Decision support system; SOIL PROPERTIES; IRRIGATION; WATER; VARIOGRAMS; METHODOLOGY; VARIABILITY; MANAGEMENT; ATTRIBUTES; EFFICIENCY; YIELD;
D O I
10.1061/JIDEDH.IRENG-10195
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
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. 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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页数:11
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