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首页> 外文期刊>International Journal of Plant & Soil Science >Modeling of Soil Exchangeable Sodium Percentage Function to Soil Adsorption Ratio on Sandy Clay Loam Soil, Khartoum- Sudan
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Modeling of Soil Exchangeable Sodium Percentage Function to Soil Adsorption Ratio on Sandy Clay Loam Soil, Khartoum- Sudan

机译:喀土穆-苏丹沙质壤土上土壤交换性钠百分比函数对土壤吸附比的模拟

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摘要

An experiment was conducted at the Wadi Soba farm, Khartoum- Sudan. The aim of this study is to estimate the Exchangeable Sodium Percentage (ESP) function to Sodium Adsorption Ratio. In this study, linear regression model (ESP-SAR model) for predicting soil ESP from SAR was suggested. For this purpose, 30 soil samples were collected from the field of experiment, soil ESP was estimated from soil SAR in order to compare the predicted results with measured SAR using laboratory tests on saline and non- saline soil samples. The results show that on saline soil samples, the Standard Error of Mean (SEM) of predicted ESP obtained by ESP-SAR model was (0.9389) and the P-value was (0.0572). On non- saline soil samples, the Standard Error of Mean (SEM) of predicted ESP acquired by ESP-SAR model was (0.2920) and the P-value was (0.2628). The statistical results indicated that the linear regression model (ESP-SAR model), ESP= 0.84 × SAR + 2.17 with R2 = 0.7347 has a good performance in predicting soil ESP from SAR meanwhile the ESP-SAR model reflected more accuracy on non- saline soil samples and it can be recommended for both saline soil and non-saline soil samples.
机译:在苏丹喀土穆的瓦迪·索巴农场进行了一项实验。这项研究的目的是估计可交换钠百分比(ESP)函数对钠吸附率。本文提出了一种线性回归模型(ESP -SAR 模型),用于从SAR中预测土壤ESP。为此,从实验领域收集了30个土壤样品,从土壤SAR估算了土壤ESP,以便使用实验室测试在盐水和非盐水土壤样品上将预测结果与测得的SAR进行比较。结果表明,在盐渍土样品上,ESP -SAR 模型得到的预测ESP的标准误(SEM)为(0.9389),P值为(0.0572)。在非盐渍土壤样品上,ESP -SAR 模型获得的预测ESP的标准误均值(SEM)为(0.2920),P值为(0.2628)。统计结果表明,线性回归模型(ESP -SAR 模型),ESP = 0.84×SAR + 2.17,R 2 = 0.7347具有良好的土壤ESP预测能力。同时,ESP -SAR 模型在非盐渍土样品上具有更高的准确性,可推荐用于盐渍土和非盐渍土样品。

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