Please use this identifier to cite or link to this item: http://hdl.handle.net/10532/1613
Title: Predicting soil salinity in response to different irrigation practices, soil types and rainfall scenarios
Authors: Isidoro Ramírez, Daniel
Grattan, S.R.
Issue Date: 2011
Citation: Daniel Isidoro and S.R. Grattan. "Predicting soil salinity in response to different irrigation practices, soil types and rainfall scenarios". Irrigation science (2011), vol. 29, nº 3, p. 197-211
Abstract: A model was developed to predict rootzone salinity under different irrigation practices on different soil types, with similar rainfall but different monthly distributions. A rootzone daily water and salt balance was performed using eight scenarios: two soil types (coarse-textured v. fine-textured), two multi-year series of actual rainfall data and two irrigation practices (surface with fixed number of irrigations and ET-based sprinkler irrigation). All factors influenced the mean electrical conductivity (EC) of the rootzone in the growing season (ECeS): (i) Surface irrigation led to lower ECeS than sprinkler irrigation; (ii) Winterconcentrated rainfall caused lower ECeS than rainfall distributed uniformly throughout the year; and (iii) Coarser textured soil usually resulted in lower ECeS than the finer textured. The ECeS was related to the total precipitation of the hydrologic year and to the annual leaching fraction (LF), but surprisingly not to the seasonal LF. In most cases the model predicted lower ECeS than the FAO steady-state approach. Therefore considering these site-specific features could lead to lower leaching requirements and the safe use of higher salinity water
URI: http://hdl.handle.net/10532/1613
Appears in Collections:[DOCIART] Artículos científicos, técnicos y divulgativos

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