2019
DOI: 10.4090/juee.2019.v13n1.34-41
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Spatial Modeling of Soil Salinity Using Multiple Linear Regression, Ordinary Kriging and Artificial Neural Network Methods in the Lower Cheliff Plain, Algeria

Abstract: Soil salinity is one of the most damaging environmental issues worldwide, essentially in arid and semi-arid regions, caused by various factors. Spatial estimation and prediction of salinity is important to predict land evaluation in order to develop and determine leaching factor and the precise management for maximum production. The Lower Cheliff is characterized by the augmentation of rate of soil salinity with 80 % of area. In this study, we have analyzed the relationship between both elevation and soil sali… Show more

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