Sustainability of water resources with precise modelling of crop coefficients

K. Reddy
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Abstract

The sustainability of water resources depends on various factors, out of which one is a precise assessment of crop water requirements, in turn, the crop coefficients. Therefore, in this research, efforts are being made to generate a precise crop coefficient model to determine crop coefficients. The sugarcane is one among several vital crops cultivated in the Anakapalle research area. This study focused primarily on the evolution of crop coefficient (Kc) models for sugarcane. The crop evapotranspiration (ETc) observed using a lysimeter, and reference evapotranspiration (ET0) assessed with the Penman-Monteith technique (proposed by FAO-56) was adopted in the study. The ETcand ET0values are substituted in Kc= ETc/ ET0to obtain Kcvalues. Graphs were plotted using the Kcvalues on the y-axis and the days, weeks, or months after sowing the crop on the x-axis. The best curve fitting for these values in the graph is observed as a third-order polynomial curve, and the equation of the curve is considered as the Kcmodel. The various statistical indicators are used to assess the capabilities of the Kcmodels. It has been inveterate that the Kcmodel functions effectively in both the phases of training and testing. The efficiencies of the Kcmodels were observed as 82.32%. 92.47%, and 98.44% for daily, weekly, and monthly time phases, respectively. Thus, Kcmodels could help predict Kcvalues of sugarcane crops in the research area. It could be applied with a fair degree of precision in other places with similar climatic features to the research area.
利用作物系数的精确模型实现水资源的可持续性
水资源的可持续性取决于各种因素,其中之一是作物需水量的精确评估,进而是作物系数。因此,在本研究中,正在努力建立一个精确的作物系数模型来确定作物系数。甘蔗是Anakapalle研究区种植的几种重要作物之一。本研究主要关注甘蔗作物系数(Kc)模型的演化。采用蒸渗仪观测作物蒸散量(ETc),采用Penman-Monteith技术(FAO-56提出)评估参考蒸散量(ET0)。将ETc和et0值替换为Kc= ETc/ et0以获得Kcvalues。用k值在y轴上绘制图形,用x轴表示播种后的天数、周数或月数。图中这些值的最佳拟合曲线为三阶多项式曲线,曲线方程称为kc模型。各种统计指标被用来评估kc模型的能力。kc模型在训练和测试阶段都能有效地发挥作用,这一点已经根深蒂固。kc模型的效率为82.32%。日、周、月时间段分别为92.47%、98.44%。因此,kc模型可以帮助预测研究区甘蔗作物的kc值。它可以相当精确地应用于与研究地区气候特征相似的其他地方。
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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