Estimation of Root-zone Salinity Using SaltMod in the Irrigated Area of Kalaât El Andalous (Tunisia)

Authors
N. Ferjani 1
M. Morri 2
H. Daghari 2
1 Department of Life Sciences, Faculty of Sciences of Bizerte, University of Carthage, 7021 Zarzouna Bizerte, Tunisia.
2 Resources Management and Conservation Research Unit, National Agronomic Institute of Tunisia (INAT), University of Carthage, Tunisia.
Abstract
In Tunisia, Kalâat El Andalous irrigated district is one of the most affected areas by salinization. The objective of this study was to predict the root zone salinity (over 10 years) in this area using the SaltMod simulation model for subsurface drainage system. SaltMod is based on water balance, salt balance model, and seasonal agronomic aspects. In the pilot area, irrigated vegetables crops such as tomato (Lycopersicum esculentum), melon (Cucumis mela) andsquash (Cucurbuta maxima) occupy the field during summer and rainfed wheat during winter. The model predicted more or less similar values of electrical conductivity in the root zone. Highest value of electrical conductivity reached during the irrigation season was 7.7 dS m-1. Following the fall rains, there was a decrease of the soil salinity when the average minimum value of electrical conductivity was 3.1 dS m-1. The simulation also showed that decreasing the depth of the drain did not change significantly the root zone salinity. The depth of the drain could be reduced to 1.6 m without any damage to crops. There was a slight reduction in drainage flow when the depth of the drain changed from 1.8 m to 1.2 m. Decrease of the drain depth decreased water table level. There was no variation in root zone salinities due to change in drain spacing. The predicted drainage flows were related to the occurrence of irrigation and rainfall. In this study, calibration of SaltMod for water-salt balance parameters proved the validity of the model for the local conditions.

Keywords

1. Allen, R. G., Pereira, L. S., Raes, D. and Smith, M. 1998. Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements. Paper 56, FAO Irrigation and Drainage, Italy, pp.160
2. Ayers, R. S., 1977. Quality of Water for Irrigation. J. Irrig Drain Div, 103: 135-154.
3. Bahceci, I., Dinc, N., Tarı, A. F., Agar, A. I. and Sonmez, B. 2006. Water and Salt Balance Studies, Using SaltMod, to Improve Subsurface Drainage Design in the Konya-Cumra Plain, Turkey. Agric. Water Manag., 85: 261-271.
4. Bahceci, I. and Nacar, A. S. 2007. Estimation of Root Zone Salinity Using SaltMod, in the Arid Region of Turkey. Irrig. Drain., 56: 601-604.
5. Belmans, C., Wesselling, J. G. and Feddes, R. A. 1983. Simulation Model of the Water Balance of a Cropped Soil: SWATRE. J. Hydrol., 63: 271-286.
6. Campos, C. A. B, Fernandes, P. D., Gheyi, H. R., Blanco, F. F., Goncalves C. B. and Campos, S. A. F. 2006. Yield and Fruit Quality of Industrial Tomato under Saline Irrigation. Sci. Agric., 63: 146-152.
7. CRUESI. 1970. Research and Training on Irrigation with Saline Water: Technical Report. Tunis/UNESCO Paris, 1962-1969.
8. Dadkhah, A. 2011. Effect of Salinity on Growth and Leaf Photosynthesis of Two Sugar Beet (Beta vulgaris L.) Cultivars. J. Agr. Sci. Tech., 13: 1001-1012.
9. FAO. 1985. Water Quality for Agriculture. Paper 29, Revsion 1, FAO Irrigation and Drainage Rome, 174 PP.
10. Greiner, R. 1997. Optimal Farm Management Responses to Emerging Soil Salinization in a Dry Land Catchment in Eastern Australia. Land Degrad. Deve., 8: 281-303.
11. Kafi, M. 2009. The Effects of Salinity and Light on Photosynthesis, Respiration, and Chlorophyll Fluorescence in Salt-tolerant and Salt-sensitive Wheat(Triticum aestivum L.) Cultivars. J. Agr. Sci. Tech., 11: 535-547.
12. Kitamura Y., Yano T., Honna T., Yamamoto S. And Inosako K. 2006. “Causes of Farmland Salinization and Remedial Measures in the Aral Sea Basin: Research on Water Management to Prevent Secondary Salinization in Rice-based Cropping System in Arid Land”. Agric. Water Manag., 85: 1-14.
13. Matternicht, G. 2001. Assessing Temporal and Spatial Changes of Salinity Using Fussy Logic, Remote Sensing and GIS. Foundation of an Expert System, in Ecological Modelling, p163-179.
14. Minacapilli, M., Iovino, M. and D’Urso, G. 2008. A Distributed Agro-hydrological Model for Irrigation Water Demand Assessment. Agric. Water Manag., 95: 123-132 .
15. Nasir, M. K., Bashir, A., Latif, M. and Yohei, S. 2004. Application of ”SaltMod to Evaluate Preventive Measures against Hydro-salinization in Agricultural Rural Areas (A Case Study of Faisalabad, Pakistan). Quart. Sci. Vision, 9: 1-2
16. Piper, C. S. 1964. Soil and Plant Analysis “Monograph from the Waite" Agric. Res. Inst., The University Adelaide, 368 PP.
17. Reina-Sanchez, A., Romero-Aranda, R. and Cuartero, J. 2005. Plant Water Uptake and Water Use Efficiency of Greenhouse Tomato Cultivar Irrigated with Saline Water. Agric. Water Manag., 78: 54-66.
18. Rao, K. V. G. K., Kumbhare, P. S., Kamra S. K. and Oosterbaan, R. J. 1990. Reclamation of Waterlogged Saline Alluvial Soils in India by Subsurface Drainage. In: "Symposium on Land Drainage for Salinity Control in Arid and Semi-arid Regions". Drainage Research Institute, Cairo, 2: 17-25.
19. Richards, L. A. Ed. 1954. Diagnosis and Improvement of Saline and Alkali Soils. Agriculture Handbook No 60, US Departement of Agriculture, Washington, DC, pp.160.
20. Safwat, A. D. and Ritzema, H. P. 1990. Verification of Drainage Design Criteria in the Nile Delta, Egypt. Irrig. Drain. Sys., 4: 117-131.
21. Shrestha, D. P. 2006. Relating Soil Electrical Conductivity to Remote Sensing and Other Soil Property for Assessing Soil Salinity in Northeast Thailand. Land Degrad. Deve., 17: 677-689.
22. Šimůnek, J.,. van Genuchten, M. and Šejna, M. 2005. The HYDRUS-1D Software Package for Simulating the One-dimensional Movement of Water, Heat, and Multiple Solutes in Variably-saturated Media. Version 3.0. HYDRUS Software Ser. 1, Department of Environmental Sciences, University of California, Riverside.
23. Skaggs, R.W. 1981. DRAINMOD Reference Report: Method for Designs and Evaluation of Drainage Water Management Systems for Soils with High Water Tables. United States Department of Agriculture, Raleigh, 329 PP.
24. Srinivasulu, A., Rao, C. S. Lakshmi, G. V., Satyanarayana, T. V. and Boonstra, J. 2004. Model Studies on Salt and Water Balances at Konanki Pilot Area, Andhra Pradesh, India. Irrig. Drain. Sys., 18: 1-17.
25. Tanji, K. K. and Neeltje, C. N. 2002. Agricultural Drainage Water Management in Arid and Semi-Arid Areas. Paper 61, FAO Irrigation and Drainage, Food and Agriculture Organization of The United Nations.
26. Oosterbaan, R. J. 1998. SALTMOD: Description of Principles and Applications. ILRI, Wageningen, The Netherlands.
27. Oosterbaan, R. J. 2000. SALTMOD: Description of Principles and Applications. ILRI, Wageningen, The Netherlands.
28. Oosterbaan, R. J. et Pedrose de Lima, (1989). SALTMOD mannual, ILRI, The Netherlands.
29. Payette, S. And et Rochefort, L. 2001. Écologie des Tourbières du Québec-Labrador. Les Presses de l’Université Laval, Québec, 621 PP.
Journal of Agricultural Science and Technology
Volume 15, Issue 7
November and December 2013
Pages 1461-1477