English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/95065
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Progress towards DSS-SALTIRSOIL: Montly calculation of soil salinity, sodicity and alkalinity on irrigated well-drained lands

AuthorsVisconti Reluy, Fernando ; Paz Bécares, José Miguel de; Molina, M. J. ; Ingelmo Sánchez, Florencio ; Sánchez, J.; Rubio, José Luis
Issue DateOct-2010
PublisherFood and Agriculture Organisation of the United Nations
CitationGlobal Forum on Salinization and Climate Change (2010)
AbstractThe development of a decision support system (DSS) based on SALTIRSOIL for the precise management of irrigation water, crop and soil in agricultural lands under risk of salinization, sodification and alkalinization needed SALTIRSOIL to be able to calculate soil salinity, sodicity and alkalinity at monthly intervals. The new monthly SALTIRSOIL model has been developed and validated in three citrus orchards in the Almenara irrigitation area in Valencia (Spain). Comparison of simulations and measurements of electrical conductivity and sodium adsorption ratio in the saturation extract and pH in the saturated paste indicated the SALTIRSOIL is able to give reliable predictions of soil salinity, sodicity and alkalinity when the soil drainage is not impeded. Furthermore, the SALTIRSOIL model gives these reliable predictions in a cost-effective way because only a few basic water quality, climate, soil, crop and irrigation management information data are required to run the model.
DescriptionPonencia presentada en el Global Forum on Salinization and Climate Change celebrado en Valencia del 25 al 29 de octubre de 2010
Appears in Collections:(CIDE) Comunicaciones congresos
Files in This Item:
File Description SizeFormat 
accesoRestringido.pdf15,38 kBAdobe PDFThumbnail
Show full item record
Review this work

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.