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Evaluation of soil water dynamics and crop yield under furrow irrigation with a two-dimensional flow and crop growth coupled model.

机译:利用二维流与作物生长耦合模型评价沟灌条件下土壤水分动态和作物产量。

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Aiming at investigating an appropriate furrow irrigation management strategy for high melon yields and water productivity (WP), a new coupled model was developed based on the CHAIN_2D and the crop growth model of EPIC. In the coupled model, the root water uptake model of Vrugt was coupled with the root depth growth model in order to consider the interaction between root water uptake and crop growth. The coupled model was calibrated and validated with the observed values obtained from melon field experiment conducted in 2008 and 2009 in Gansu province, Northwest China. Simulation of total water use, leaf area index, melon yield and soil water dynamics fitted well with the field observations. The calibrated model was then used to predict the yield and water productivity (WP) of melon under different furrow irrigation scenarios. The relative yield and WP for different irrigation depth were considered as the criteria for investigating the appropriate irrigation management practices. Results showed that the relative yield and WP increased and decreased, respectively, as the relative irrigation increased through a quadratic function. The appropriate irrigation amounts for melon in the study area were 209 mm and 218 mm in 2008 and 2009, respectively.
机译:为了研究适合高甜瓜产量和水分生产率(WP)的沟灌管理策略,基于CHAIN_2D和EPIC作物生长模型开发了一种新的耦合模型。在耦合模型中,Vrugt的根系吸水模型与根深生长模型结合在一起,以考虑根系吸水与作物生长之间的相互作用。耦合模型已经过校准,并使用从2008年和2009年在中国西北的甘肃省进行的瓜田试验获得的观测值进行了验证。对总用水量,叶面积指数,甜瓜产量和土壤水分动力学的模拟与实地观测非常吻合。然后将校准后的模型用于预测不同沟灌条件下甜瓜的产量和水分生产率。不同灌溉深度的相对产量和可湿性粉剂被认为是研究适当灌溉管理措施的标准。结果表明,随着相对灌溉量通过二次函数增加,相对产量和WP分别增加和减少。研究区2008年和2009年适宜的甜瓜灌溉量分别为209毫米和218毫米。

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