Evaluating efficiency of theoretical saline soils leaching models in Azadegan plain

Authors

1 Forest, Range and Watershed Managment Organization, khuzestan Department of Natural Resources and Watershed Managment, ahwaz, khuzestan, iran

2 Professor, Department of Irrigation and Drainage, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran

3 Assistant Professor, Department of Soil Science, Faculty of Agricultural Sciences, University Of Guilan, Rasht, Iran

4 Research Assistant. Prof., Soil and Water Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran

Abstract

Soil and water salinity is one of the most important factors in reducing the yield of plants in arid and semi-arid regions, which tends to limit plant growth and its development. In saline soils, yield production directly influences by soluble salts in the root zone as well as by shallow water table depth. The first step for reclamation of such soils is reducing salinity to optimum level by leaching practice. Assessing the quantity of water required for this practice, as well as saving the applied water and proper use of water resources for optimal water management are of great importance for leaching process. The objectives of this study were to investigate theoretical models to predict ultimate salinity and to compare the predicted outcomes with experimentally obtained data. For this purpose, several field saline-sodic soil reclamation experiments were carried out in Jafir area, Khuzestan plain, Iran, by using double rings. All experiments were conducted by applying 100 cm water depth in four-25 cm intervals and intermittent ponding method. Four theoretical leaching models including series of reservoirs (SRM), numerical solution (NM), continuous column (TPTM) and secondary reservoir (SRBM) models were used to predict the ultimate salinity. All models outputs were then verified with the real data. Results indicated that among four examined models, the SRM and SRBM models provide more reliable outputs. Although the performance of studied models differed for different depths of applied leaching water, but considering the lower RMSE and RMSEn values of SRM model, this model is more suitable for forecasting the results of leaching and soil reclamation in the study area. This model could reasonably well estimate the designated final salinity.

Keywords


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