Assessing AquaCrop model to simulate soil water contents under semi arid climate of Central Tunisia

Ghazouani Hiba, Basma Latrech, M. Amel, C. Amani, B. Douh, G. Issam, A. Boujelben
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Abstract

The objective of the present study was to preliminary calibrate and validate AquaCrop model based on crop conservative parameters from the literature for plant growth and water stress thresholds. In addition, physical soil characteristics, root growth, duration of plant stages and atmospheric demands were introduced according to field measurements. Based on this preliminary calibration, simulated water contents were compared to a measured data set of water contents retrieved from deficit and full irrigation treatments on a potato cropped field during an experimental year of 2015. Statistical indexes were computed and finally this performance in simulating water contents were validated under independent measurements carried out during an experiments campaign on the same field on 2014. Moreover, the paper presents the experimental protocol followed for soil characterization, considered as a milestone component for this soil water contents prediction. Results showed, that under the followed preliminary calibration, the model was able to simulate water contents (0v). In general, values of Root Mean Square Error were lower than 0.03 cm3.cm-3 representing the magnitude of error of the time domain reflectometry probe. Moreover values of Nash coffecients were close to 1 confirming the goodness of fit between measured and estimated water contents. Once assessed, the model could be used to study effects of different irrigation strategies on dynamic of water contents aiming to increase water use efficiency.
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评估AquaCrop模式模拟突尼斯中部半干旱气候下土壤含水量
本研究的目的是初步校准和验证AquaCrop模型,该模型基于文献中作物保守参数,用于植物生长和水分胁迫阈值。此外,根据田间实测资料,介绍了土壤物理特性、根系生长、各生育期持续时间和大气需氧量。基于这一初步校准,模拟水分含量与2015年试验年马铃薯种植区亏缺和完全灌溉处理的水分含量测量数据集进行了比较。计算了统计指标,最后在2014年同一地块的独立试验中验证了该模拟含水量的性能。此外,本文还提出了土壤表征所遵循的实验方案,认为这是土壤含水量预测的里程碑式组成部分。结果表明,在后续的初步标定下,该模型能够模拟0v的含水率。总体而言,均方根误差值均小于0.03 cm3。Cm-3表示时域反射探头的误差幅度。此外,纳什系数的值接近于1,证实了测量和估计含水量之间的拟合良好。该模型可用于研究不同灌溉策略对水分动态的影响,以提高水分利用效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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