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Predicting Soil Salinity under Various Strategies in Irrigation Systems
Authors:Erwin De Nys  Dirk Raes  Pierre-Yves Le Gal  Gilberto Cordeiro  Stijn Speelman  Klaartje Vandersypen
Affiliation:1Research Assistant, Dept. Land Management, K.U.Leuven, Vital Decosterstraat 102, B-3000 Leuven, Belgium.
2Professor, Dept. Land Management, K.U.Leuven, Vital Decosterstraat 102, B-3000 Leuven, Belgium (corresponding author). E-mail: dirk.raes@biw.kuleuven.be
3Senior Researcher, CIRAD-TERA, 73 av. Jean-Fran?ois Breton, TA 60/115, 34398 Montpellier Cedex 5, France.
4Senior Researcher, EMBRAPA-CPATSA, BR 428, Km 152, Zona Rural, Petrolina-PE, Brazil.
5Master Student, Dept. Land Management, K.U.Leuven, Vital Decosterstraat 102, B-3000 Leuven, Belgium.
Abstract:This paper presents a model to estimate the soil salinity for different on-farm management strategies under irrigated conditions. It is based on research in the Mani?oba irrigation scheme in northeast Brazil, where upward flow from the shallow water table is the main cause of soil salinization. The model calculates soil water and salt balances for the topsoil. It is calibrated for the topsoil of abandoned plots and for the root zone (0.9?m) of mango trees. Simulating the effect of different management scenarios on soil salinity may help to organize the switch from intensive surface irrigation to more efficient irrigation practices.
Keywords:Irrigation systems  Irrigation efficiency  Saline ground water  Salinity  Simulation models  Water balance  Brazil  
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