Geostatistical Approach to Determining the Pressure Head Spatial Distribution along the Center-Pivot Lateral Line
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.
Authors
- Felipe Schwerz (ORCID: https://orcid.org/0000-0001-5266-4309)
- Alberto Colombo (ORCID: https://orcid.org/0000-0002-7872-9796)
- Luana Mendes dos Santos (ORCID: https://orcid.org/0000-0001-8406-2820)
- Brenon Diennevan Souza Barbosa (ORCID: https://orcid.org/0000-0001-6791-2504)
- Gabriel Araújo e Silva Ferraz (ORCID: https://orcid.org/0000-0001-6403-2210)
- Victor Buono da Silva Baptista (ORCID: https://orcid.org/0000-0002-5355-5427)
- Matheus Sterzo Nilsson (ORCID: https://orcid.org/0000-0001-8703-2336)
- Marcelo Silva de Oliveira (ORCID: https://orcid.org/0000-0003-3127-7195)
Institutions
- Universidade Federal de Lavras (BR)
- Universidade de São Paulo (BR)
Publication Details
- Journal
- Journal of Irrigation and Drainage Engineering
- Published
- 2024-08-21
- DOI
- https://doi.org/10.1061/jidedh.ireng-10195
- Primary Topic
- Soil Geostatistics and Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00