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Time Stable Representative Position determination as affected by the considered part of an irrigation cycle

机译:时间稳定的代表位置确定受灌溉周期所考虑的部分的影响

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A recurrent issue in irrigation management refers to the number and optimal positioning of water content sensors in the root zone of a crop. In the field, the definition of the number and location of sensor installation is still arbitrary. How many sensors and where to install them has been studied using the Time Stable Representative Positions (TSRP) concept introduced by Soulis and Elmaloglou (2016). However, the effect of the period of the soil water content data used for the determination of the TSRP is not usually considered. The main objectives of this work are to analyze how the soil water content data collection period within an irrigation cycle affects the determined optimal sensor positioning based on TSRP; and, to evaluate if the sensors positioning affects the prediction of crop evapotranspiration (ETc) by numerical modeling. Over 60,000 soil water content data were obtained during 36 days from 12 TDR probes installed at different monitoring positions in the root zone of an irrigated banana plant. The optimal position of sensors was determined based on the concept of TSRP, considering soil water content data obtained during the entire and during the second part of the irrigation cycles. The SWAP hydrological model was also used to investigate the effect of sensors positioning in prediction of ETc by numerical modeling. It was verified that the use of soil water content data obtained at the beginning of an irrigation cycle - at times when infiltration occurs and there is a high intensity of redistribution of water in the soil - increases the uncertainties regarding the estimation of temporal stability for purposes of irrigation management. The result of the determination of the optimal positioning for sensors installation varies according to the part of the irrigation cycle from which water content measurements are considered. This variation affects the prediction of ETc by numerical modeling. As values of soil water content obtained at the beginning of the irrigation cycle increase the uncertainty of the statistical indicators and are not of practical interest for irrigation management, it is recommended that in the determination of optimal positioning of sensors, only soil water content values obtained after the infiltration and cessation of high rates of irrigation water redistribution are considered.
机译:灌溉管理中的反复发行问题是指作物根带中水含量传感器的数量和最佳定位。在该领域中,传感器安装的数量和位置的定义仍然是任意的。已经使用Soulis和Elmaloglou(2016年)引入的时间稳定的代表性位置(TSRP)概念来研究有多少传感器和安装它们。然而,通常不考虑用于确定TSRP的土壤水分含量数据的效果。这项工作的主要目标是分析灌溉周期内的土壤水分含量数据收集时段如何影响基于TSRP的确定的最佳传感器定位;并且,评估传感器定位是否通过数值建模影响作物蒸发(ETC)的预测。在36天内获得超过60,000个土壤水分数据,从安装在灌溉的香蕉植物根带的不同监测位置的12个TDR探针中获得。根据TSRP的概念确定传感器的最佳位置,考虑到在灌溉周期的整个和在第二部分期间获得的土壤水分含量数据。交换水文模型还用于研究传感器定位在ET等预测中的影响。验证了在灌溉周期开始时获得的土壤水分含量数据 - 有时发生渗透并在土壤中的水再分布的高强度 - 提高关于估计时间稳定性的不确定性灌溉管理。确定传感器安装的最佳定位的结果根据考虑水含量测量的灌溉周期的一部分而变化。该变化通过数值建模影响ETP的预测。由于在灌溉周期开始时获得的土壤含水量的价值增加了​​统计指标的不确定性,并且对灌溉管理的不实际利益而言,建议在确定传感器的最佳定位时,仅获得土壤含水量值考虑了渗透和停止灌溉水再分配的高速度之后。

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