Extended assessment of sprinkler irrigation uniformity in greenhouses using GIS and hydraulic modeling
dc.contributor.author | Barberena Ruiz, Íñigo | |
dc.contributor.author | Campo-Bescós, Miguel | |
dc.contributor.author | Casalí Sarasíbar, Javier | |
dc.contributor.department | Ingeniaritza | eu |
dc.contributor.department | Institute on Innovation and Sustainable Development in Food Chain - ISFOOD | en |
dc.contributor.department | Ingeniería | es_ES |
dc.contributor.funder | Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa | es |
dc.date.accessioned | 2022-12-22T10:41:43Z | |
dc.date.available | 2022-12-22T10:41:43Z | |
dc.date.issued | 2022 | |
dc.date.updated | 2022-12-22T08:56:05Z | |
dc.description.abstract | Traditionally, distribution uniformity has been obtained by using rain gauges, which makes it a very expensive process. This paper sought to create a simulation strategy using QGIS and EPANET, both free software, that allowed the simulation of the water application results of all the emitters of an irrigation installation. In this way, it was possible to obtain the geospatial representation of the applied water and finally to know the distribution uniformity in the whole installation. The simulation finally fulfilled its objective and was compared with a study of distribution uniformity with rain gauges. The biggest difference between the measured and simulated data was a difference of 5.76% among the sectors. The simulated uniformity was very similar to the measured uniformity, which allowed us to affirm that the proposed simulation methodology was adequate. We believe that the methodology proposed in this article could be very useful in improving the management of sprinkler irrigation systems, particularly those in which distribution uniformity is of special importance. These improvements in management can also result in savings in water and other inputs, which are becoming increasingly important in the current context of climate change and the reduction in the impact of agriculture on the environment. Finally, similar studies could be carried out with the same tools for other pressurized irrigation systems, such as sprinkler irrigation outside greenhouses and drip irrigation. | en |
dc.description.sponsorship | Research Initiation Grant of the Public University of Navarra for master's students who develop their Master's Thesis (TFM) in the field of research institutes and in Navarrabiomed, academic year 2021-2022 (Res 602/2022) | en |
dc.format.mimetype | application/pdf | en |
dc.format.mimetype | application/zip | en |
dc.identifier.citation | Barberena, I., Campo-Bescós, M. Á., & Casalí, J. (2022). Extended Assessment of Sprinkler Irrigation Uniformity in Greenhouses Using GIS and Hydraulic Modeling. Sustainability, 14(15), 9723. https://doi.org/10.3390/su14159723 | en |
dc.identifier.doi | 10.3390/su14159723 | |
dc.identifier.issn | 2071-1050 | |
dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/44477 | |
dc.language.iso | eng | en |
dc.publisher | MDPI | en |
dc.relation.ispartof | Sustainability 2022, 14(15), 9723 | en |
dc.relation.publisherversion | https://doi.org/10.3390/su14159723 | |
dc.rights | © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license | en |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | EPANET | en |
dc.subject | Irrigation system evaluation | en |
dc.subject | QGIS | en |
dc.title | Extended assessment of sprinkler irrigation uniformity in greenhouses using GIS and hydraulic modeling | en |
dc.type | info:eu-repo/semantics/article | |
dc.type.version | info:eu-repo/semantics/publishedVersion | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | e9ca0d9f-24bc-4ce1-871f-81ce4e86b5bd | |
relation.isAuthorOfPublication | e3cfccd0-e410-4e7e-a9f6-c3825f946a14 | |
relation.isAuthorOfPublication.latestForDiscovery | e9ca0d9f-24bc-4ce1-871f-81ce4e86b5bd |
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