Ghazouani Hiba, Basma Latrech, B. Douh, C. Amani, M. Amel, G. Issam, A. Boujelben
{"title":"Using AquaCrop Model to simulate irrigation water use efficiency of potato crop under semi-arid conditions of Central Tunisia","authors":"Ghazouani Hiba, Basma Latrech, B. Douh, C. Amani, M. Amel, G. Issam, A. Boujelben","doi":"10.21472/BJBS.061220","DOIUrl":null,"url":null,"abstract":"\n In Tunisia, water scarcity forces producers to face stress conditions. In this study, AquaCrop was used to reproduce the dynamic of water contents, vegetative growth, yield production and water use efficiency under a non-stressed and water stressed treatments. Calibration procedure aimed to use in maximum default parameters of AquaCrop. Since, the paper presented only the parameters that have to be adjusted to obtain similar results of field measurements. Root mean squared error, RMSE, values were always lower than 0.04 cm3.cm-3 for water contents lower than 0.06 for vegetation cover estimation. Moreover, results from Nasch Coefficient, E, were almost equal to one. RMSE and E justified that the model was well assessed to predict the soil water contents and vegetation development under the study area. However, the model presented a greater performance in the case of full irrigation strategy. When evaluating different values of water productivity, it was showed that a WP of 32 g.m-2 produced the lowest estimation error. Regarding yield productions, statistical indictors, computed for a water productivity value of 32 g.m-2 show in general RMSE values lower than 0.4 t/ha. In addition, E was closer to one for the non stressed treatment, T1. For irrigation water use efficiency, it was depicted that the model underestimated field IWUE. Moreover, the discrepancy between simulated and estimated irrigation water use efficiency rose for treatment T2, implying that the model calibration should be improved, especially for stressed conditions. The model, after being calibrated, could be used for simulating the response of the crop to different irrigation management aiming to optimize water use efficiency.\n","PeriodicalId":9319,"journal":{"name":"Brazilian Journal of Biological Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brazilian Journal of Biological Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21472/BJBS.061220","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In Tunisia, water scarcity forces producers to face stress conditions. In this study, AquaCrop was used to reproduce the dynamic of water contents, vegetative growth, yield production and water use efficiency under a non-stressed and water stressed treatments. Calibration procedure aimed to use in maximum default parameters of AquaCrop. Since, the paper presented only the parameters that have to be adjusted to obtain similar results of field measurements. Root mean squared error, RMSE, values were always lower than 0.04 cm3.cm-3 for water contents lower than 0.06 for vegetation cover estimation. Moreover, results from Nasch Coefficient, E, were almost equal to one. RMSE and E justified that the model was well assessed to predict the soil water contents and vegetation development under the study area. However, the model presented a greater performance in the case of full irrigation strategy. When evaluating different values of water productivity, it was showed that a WP of 32 g.m-2 produced the lowest estimation error. Regarding yield productions, statistical indictors, computed for a water productivity value of 32 g.m-2 show in general RMSE values lower than 0.4 t/ha. In addition, E was closer to one for the non stressed treatment, T1. For irrigation water use efficiency, it was depicted that the model underestimated field IWUE. Moreover, the discrepancy between simulated and estimated irrigation water use efficiency rose for treatment T2, implying that the model calibration should be improved, especially for stressed conditions. The model, after being calibrated, could be used for simulating the response of the crop to different irrigation management aiming to optimize water use efficiency.
在突尼斯,水资源短缺迫使生产者面临压力。本研究利用AquaCrop模拟了不同胁迫条件下水稻水分含量、营养生长、产量和水分利用效率的动态变化。校准程序旨在使用AquaCrop的最大默认参数。因此,本文只给出了需要调整的参数,以获得类似的现场测量结果。均方根误差(RMSE)值均小于0.04 cm3。Cm-3对植被覆盖度估算含水量小于0.06。此外,纳什系数E的结果几乎等于1。RMSE和E表明,该模型能够较好地预测研究区土壤含水量和植被发育。然而,该模型在完全灌溉策略下表现出更好的性能。在不同水分生产力值的估算中,以32 g m-2的WP估算误差最小。在产量方面,根据水分生产力值为32 g - m-2计算的统计指标显示,RMSE值一般低于0.4 t/ha。此外,对于非应力处理T1, E更接近于1。在灌溉用水效率方面,模型低估了农田IWUE。此外,T2处理灌溉水利用效率的模拟值与估计值之间的差异有所增大,表明模型的校准还有待改进,特别是在应力条件下。该模型经标定后,可用于模拟作物对不同灌溉管理方式的响应,以优化水分利用效率。