Prediction of soil exchangeable sodium percentage based on soil sodium adsorption ratio

Seilsepour, Mohsen and Rashidi, Majid and Khabbaz, Borzoo Ghareei (2009) Prediction of soil exchangeable sodium percentage based on soil sodium adsorption ratio. American-Eurasian Journal of Agricultural and Environmental Sciences, 5 (1). pp. 1-4. ISSN 1818-6769

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Abstract

Despite the increasing prevalence of salinity world-wide, the measurement of exchangeable cation concentrations in saline soil remains problematic. In this situation, it is desirable to determine relationships among indices of soil salinity. Exchangeable Sodium Percentage (ESP) are often determined using laborious and time consuming laboratory tests, but it may be more appropriate and economical to develop a method which uses a more simple soil salinity index. In this study, a linear regression model for predicting soil ESP from soil Sodium Adsorption Ratio (SAR) was suggested and the soil ESP was estimated as a function of soil SAR. The statistical results of the study indicated that in order to predict soil ESP based on soil SAR the linear regression model ESP = 1.95 + 1.03 SAR with R2 = 0.92 can be recommended.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Deposited in accordance with the copyright policy of the publisher (IDOSI).
Depositing User: Borzoo Ghareei Khabbaz
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 15 Nov 2009 09:18
Last Modified: 02 Jul 2013 23:25
Uncontrolled Keywords: exchangeable sodium percentage; sodium adsorption ratio; soil; prediction
Fields of Research (FOR2008): 05 Environmental Sciences > 0503 Soil Sciences > 050304 Soil Chemistry (excl. Carbon Sequestration Science)
09 Engineering > 0907 Environmental Engineering > 090703 Environmental Technologies
09 Engineering > 0999 Other Engineering > 099901 Agricultural Engineering
Socio-Economic Objective (SEO2008): D Environment > 96 Environment > 9609 Land and Water Management > 960999 Land and Water Management of Environments not elsewhere classified
URI: http://eprints.usq.edu.au/id/eprint/5778

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