Assessment of SIMDualKc model for irrigation scheduling of winter wheat in the Haouz plain, Morocco

IF 6.5 1区 农林科学 Q1 AGRONOMY Agricultural Water Management Pub Date : 2025-05-01 Epub Date: 2025-03-18 DOI:10.1016/j.agwat.2025.109430
Zaineb Bouswir , Salah Er-Raki , Saïd Khabba , Jamal Ezzahar , Hiba Ait Ben ahmed , Zoubair Rafi , Abdelghani Chehbouni
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Abstract

Agricultural water management in arid and semi-arid regions faces significant challenges, exacerbated by climate change and rising food demand. To address this, the study proposes a strategy for tailoring the irrigation requirements of winter wheat according to its specific water needs at different development stages and under varying environmental conditions. For this purpose, the SIMDualKc model was used for irrigation scheduling to avoid water stress and percolation losses, thereby optimizing crop water use and supporting sustainable management practices.
The model was first calibrated and validated using various in situ data, including actual evapotranspiration ETc act, available soil water in root zone (ASW), and vegetation cover fraction (fc), as well as the climatic forcing data. These data were collected over two winter wheat fields in the Chichaoua province (Center of Morocco) during two growing seasons (2016/2017 and 2017/2018). The comparison between simulation and measurement data shows promising results, with average values of RMSE (R2) being 0.56 mm/day (0.94), 0.08 (0.97) and 11.7 mm (0.94) forETc act, fc and ASW, respectively.
Additionally, the evaluation of the soil water balance, considering the irrigation amount supplied by the farmer, revealed substantial water losses through deep percolation for both fields during the two wheat seasons: 203 mm and 120 mm during the first season, and 435 mm and 307 mm during the second season, highlighting the necessity of optimized irrigation management practices. Using the SIMDualKc model, an optimized irrigation scheduling is proposed, achieving an important reduction of required irrigation amount by about 69 % of the amount supplied by the farmer without inducing water stress or percolation losses. This underscores the SIMDualKc’s potential for optimizing irrigation management of winter wheat cultivation in the Haouz region of Morocco.
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SIMDualKc模型对摩洛哥豪兹平原冬小麦灌溉调度的评价
干旱和半干旱地区的农业用水管理面临着重大挑战,气候变化和粮食需求不断增长加剧了这一挑战。为了解决这个问题,该研究提出了一种策略,根据冬小麦在不同发育阶段和不同环境条件下的具体用水需求来调整其灌溉需求。为此,SIMDualKc模型用于灌溉调度,以避免水分胁迫和渗透损失,从而优化作物水分利用并支持可持续管理实践。首先利用实际蒸散发、根区有效土壤水分(ASW)、植被覆盖分数(fc)以及气候强迫数据对模型进行了标定和验证。这些数据是在两个生长季节(2016/2017和2017/2018)在奇查瓦省(摩洛哥中部)的两块冬小麦地里收集的。模拟数据与实测数据的对比结果显示,RMSE (R2)均值分别为0.56 mm/day(0.94)、0.08 mm/day(0.97)和11.7 mm/day(0.94)。此外,考虑到农民提供的灌水量,对土壤水分平衡的评估显示,两个小麦季节两个地块通过深层渗透损失了大量水分:第一季为203 mm和120 mm,第二季为435 mm和307 mm,突出了优化灌溉管理措施的必要性。利用SIMDualKc模型,提出了一个优化的灌溉计划,在不引起水分胁迫或渗漏损失的情况下,将所需的灌溉量减少了农民供水量的69%左右。这凸显了SIMDualKc在优化摩洛哥Haouz地区冬小麦种植灌溉管理方面的潜力。
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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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