A path towards precision border irrigation combining hydrodynamic modelling and in-field sensor-based support

IF 5.9 1区 农林科学 Q1 AGRONOMY
Paul Vandôme, Gilles Belaud, Mohamed Amine Berkaoui, Cédric Guillemin, François Charron, Crystèle Leauthaud
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Abstract

Surface irrigation is often described as low performing insofar as its practice is labour intensive and involves the use of large water flows that are difficult to quantify and manage. However, this method remains predominant worldwide, and modernisation towards localised irrigation systems is not always feasible nor advisable. To support border irrigation management, we previously developed a low-cost sensor for surface irrigation management, which remotely informs the farmer of water arrival downstream of his field and therefore of the moment to stop irrigation. The objectives of this article were: (i) to determine the optimal position of this sensor lengthwise in the field throughout the season, and (ii) to compare the influence of management scenarios (current farmer’s practices, sensor-based and time-based cutoff) on irrigation performance. To this end, an integrated agro-hydraulic model was developed to simulate surface water flow dynamics throughout the season including variations in infiltration and roughness. The model was run using monitoring data from the border irrigation of a hay field during a whole season in Southern France. The results showed that the optimal sensor position can change significantly over the course of the season, depending on inflow rates, initial soil moisture and Manning’s roughness. Sensor-based irrigation control was found to be more efficient than current farming practices, with an estimated water-saving potential of 33%, and more effective than an optimised fixed cutoff time in limiting water losses induced by variability or uncertainty in the initial conditions. For some irrigation events, water savings could reach 50%. The methods and findings should serve as a basis for larger-scale studies integrating the adoption of sensors and real-time data for surface irrigation management.
结合水动力学建模和基于现场传感器的支持,实现精确边界灌溉的途径
地面灌溉通常被描述为低绩效,因为其做法是劳动密集型的,并且涉及使用难以量化和管理的大量水流。然而,这种方法在世界范围内仍然占主导地位,本地化灌溉系统的现代化并不总是可行的,也不可取。为了支持边境灌溉管理,我们之前开发了一种用于地面灌溉管理的低成本传感器,它可以远程通知农民水到达他的田地下游,从而知道何时停止灌溉。本文的目标是:(i)确定该传感器在整个季节在田间纵向的最佳位置,以及(ii)比较管理方案(当前农民的做法、基于传感器的切断和基于时间的切断)对灌溉性能的影响。为此,开发了一个综合农业水力模型来模拟整个季节的地表水流动动力学,包括入渗和粗糙度的变化。该模型是利用法国南部一整个季节的干草田边界灌溉监测数据运行的。结果表明,传感器的最佳位置在整个季节中会发生显著变化,这取决于入流速率、初始土壤湿度和曼宁的粗糙度。研究发现,基于传感器的灌溉控制比目前的耕作方式更有效,估计节水潜力为33%,在限制初始条件的可变性或不确定性引起的水损失方面,比优化的固定截止时间更有效。对于一些灌溉项目,节水可以达到50%。这些方法和结果应作为综合采用传感器和实时数据进行地面灌溉管理的更大规模研究的基础。
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来源期刊
Agricultural Water Management
Agricultural Water Management 农林科学-农艺学
CiteScore
12.10
自引率
14.90%
发文量
648
审稿时长
4.9 months
期刊介绍: Agricultural Water Management publishes papers of international significance relating to the science, economics, and policy of agricultural water management. In all cases, manuscripts must address implications and provide insight regarding agricultural water management.
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