Simulating Water Application Efficiency in Pressurized Irrigation Systems: A Computational Approach

The agricultural sector faces growing environmental and societal pressures to balance natural resource use with food security, particularly within the Water-Energy-Food-Ecosystems Nexus (WEFE). Increasing water demand, competition, and challenges like droughts and desertification are driving the need for innovative irrigation practices. Pressurized irrigation systems, such as sprinkler and micro-irrigation, are gaining prominence due to their automation, labor savings, and increased water application efficiency. To support farmers in designing and managing these systems, the R&D project AGIR developed a computational tool that simulates water application efficiency under site-specific conditions. The tool integrates key parameters, including system design, scheduling, soil properties, topography, meteorological data, and vegetation cover, providing a robust methodological framework with classification criteria for evaluating irrigation options. Validated using data from six case studies, the tool achieved simulated irrigation efficiencies of 73% to 90%, which are consistent with field observations. By simplifying complex irrigation requirement calculations, the model offers a user-friendly alternative while maintaining accuracy at the farm level. This innovative tool enables stakeholders to optimize irrigation systems, reduce water losses, and establish standardized recommendations for design, management, performance, and socio-economic considerations. It represents a significant step forward in supporting sustainable water management and advancing the goals of Agriculture 4.0.

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Publication Details

Journal
Water
Published
2025-04-18
DOI
https://doi.org/10.3390/w17081217
Primary Topic
Water resources management and optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Simulating Water Application Efficiency in Pressurized Irrigation Systems: A Computational Approach

Paulo Brito da Luz, Nelson Carriço, Diogo Felícissimo, André Antunes
Water
Water resources management and optimization
article

Simulating Water Application Efficiency in Pressurized Irrigation Systems: A Computational Approach

Paulo Brito da Luz, Nelson Carriço, Diogo Felícissimo, André Antunes
article en

Abstract

The agricultural sector faces growing environmental and societal pressures to balance natural resource use with food security, particularly within the Water-Energy-Food-Ecosystems Nexus (WEFE). Increasing water demand, competition, and challenges like droughts and desertification are driving the need for innovative irrigation practices. Pressurized irrigation systems, such as sprinkler and micro-irrigation, are gaining prominence due to their automation, labor savings, and increased water application efficiency. To support farmers in designing and managing these systems, the R&D project AGIR developed a computational tool that simulates water application efficiency under site-specific conditions. The tool integrates key parameters, including system design, scheduling, soil properties, topography, meteorological data, and vegetation cover, providing a robust methodological framework with classification criteria for evaluating irrigation options. Validated using data from six case studies, the tool achieved simulated irrigation efficiencies of 73% to 90%, which are consistent with field observations. By simplifying complex irrigation requirement calculations, the model offers a user-friendly alternative while maintaining accuracy at the farm level. This innovative tool enables stakeholders to optimize irrigation systems, reduce water losses, and establish standardized recommendations for design, management, performance, and socio-economic considerations. It represents a significant step forward in supporting sustainable water management and advancing the goals of Agriculture 4.0.

WaterVol. 17(8)
Universidade Politécnica de Setúbal (PT), Instituto Nacional de Investigação Agrária e Veterinária (PT)
Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 90%
Water resources management and optimization
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