Mohammed M. A. Elbashier, Albashir A. S. Ali, Mohammed M. M. Osman, Ayman M. Elameen
College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, 210098, China
Faculty of Agricultural sciences, University of Dongola, Sudan
College of Earth Science and Engineering, Hohai University, China
Key words: Electrical Conductivity, MSAR, Sodium Adsorption Ratio.
Prediction of sodium adsorption ratio using available soil properties and simple empirical models have become particularly urgent to reduce the time and cost of some complex soil properties. The aim of this study is to estimate the sodium adsorption ratio (SAR) from soil electrical conductivity (EC), soluble calcium (Ca++) and magnesium (Mg++) to this end, a new equation was modified from soil SAR equation (MSAR). For this purpose, 30 soil samples were collected from the field of experiment, Jabal Awliya, south of Khartoum state, Sudan. Sodium adsorption ratio (SAR) was estimated as a function of soil EC, soluble Ca++ and Mg++ in order to compare the predicted results with measured SAR using laboratory tests. The results show that on saline soil samples, the standard error of mean (SEM) of predicted SAR obtained by MSAR was (0.8029) and the p-value was (0.6433). On non-saline soil samples, the standard error of mean (SEM) of predicted SAR acquired by MSAR was (0.4203) and the p-value was (0.2197). The statistical results indicated that MSAR has a high performance in predicting soil SAR and it can be recommended for both saline soil and non-saline soil samples.
Get the original articles in Source: Archive for | IJAAR |- April, 2016
Published By: International Network for Natural Sciences