2023
DOI: 10.1016/j.agwat.2022.108042
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High-resolution 2D modelling for simulating and improving the management of border irrigation

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Cited by 10 publications
(7 citation statements)
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“…In this scenario, AH sensors can be involved as an advantageous tool to measure the water levels within a crop field and hence to quantitatively characterize the irrigation, both from a spatial and temporal point of view. That information can then be used to calibrate and validate models useful to guide the decision-makers to establish scientific-based guidelines for the farmers (Costabile et al, 2023). As an example, here we report the evolution in time of the irrigation wavefront (Figure 8) measured during a border irriga- tion event on July 20, 2021.…”
Section: Results From the Field Campaignmentioning
confidence: 99%
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“…In this scenario, AH sensors can be involved as an advantageous tool to measure the water levels within a crop field and hence to quantitatively characterize the irrigation, both from a spatial and temporal point of view. That information can then be used to calibrate and validate models useful to guide the decision-makers to establish scientific-based guidelines for the farmers (Costabile et al, 2023). As an example, here we report the evolution in time of the irrigation wavefront (Figure 8) measured during a border irriga- tion event on July 20, 2021.…”
Section: Results From the Field Campaignmentioning
confidence: 99%
“…It can be appreciated that, initially, the field starts to be gradually filled by the water (profiles 20 min, 30 min and 40 min in Figure 9), subsequently, there is a phase where the water levels remain almost stable along the agricultural field (profiles 50 min and 60 min in Figure 9) and finally, it begins to empty (profile 70 min in Figure 9) after the interruption of irrigation. Data obtained from this experimental campaign by using AH devices as water level detectors could be employed to better understand border irrigation dynamics and in particular to describe both waterfront advance and recession, calculate the intake opportunity time, estimate uniformity of water distribution onto the field or calibrate hydrodynamical models (Costabile et al, 2023;Salahou et al, 2018).…”
Section: Results From the Field Campaignmentioning
confidence: 99%
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“…The numerical model used to solve Equation was developed at University of Calabria, Italy for research purposes and provided reliable results for flood inundation in idealized and real‐world urban environments (Costabile et al., 2020; Costabile, Costanzo, Ferraro, & Barca, 2021) dam breach wave propagation (Macchione et al., 2016), pluvial flooding in urban catchments (Padulano et al., 2021a), rainfall/runoff simulations at basin scale (Costabile et al., 2021; Costanzo, Costanzo, Gandolfi, et al., 2022), flow propagation on infiltrating surfaces (Costabile et al., 2023).…”
Section: Methodsmentioning
confidence: 99%
“…The sensors were installed just before the beginning of the irrigation intervention and removed right after the water depth across the eld was completely depleted. In Field A, the water level sensors were installed at 5, 10, 15, 20, 30, 50, 75, 105, 140 and 175 m from the head of the eld; in Field B they were located at 10, 15, 20, 30, 40, 50, 60, 70, 85, 100 m. More information on the instrumentations and monitoring procedures adopted in both experimental elds can be found inMasseroni et al (2022) andCostabile et al (2023).…”
mentioning
confidence: 99%