SALTIRSOIL: a simulation model for the mid to long-term prediction of soil salinity in irrigated agriculture

The SALTIRSOIL model predicts soil salinity, sodicity and alkalinity in irrigated land using basic information on soil, climate, crop, irrigation management and water quality. It extends the concept of the WATSUIT model to include irrigation and crop management practices, advances in the calculation...

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Main Authors: Visconti, Fernando, De-Paz, José M., Rubio, José L., Sanchez, J.
Format: article
Language:Inglés
Published: 2017
Online Access:http://hdl.handle.net/20.500.11939/4735
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author Visconti, Fernando
De-Paz, José M.
Rubio, José L.
Sanchez, J.
author_browse De-Paz, José M.
Rubio, José L.
Sanchez, J.
Visconti, Fernando
author_facet Visconti, Fernando
De-Paz, José M.
Rubio, José L.
Sanchez, J.
author_sort Visconti, Fernando
collection ReDivia
description The SALTIRSOIL model predicts soil salinity, sodicity and alkalinity in irrigated land using basic information on soil, climate, crop, irrigation management and water quality. It extends the concept of the WATSUIT model to include irrigation and crop management practices, advances in the calculation of evapotranspiration and new algorithms for the water stress coefficient and calculation of electrical conductivity. SALTIRSOIL calculates the soil water balance and soil solution concentration over the year. A second module, SALSOLCHEM, calculates the inorganic ion composition of the soil solution at equilibrium with soil calcite and gypsum at the soil’s CO2 partial pressure. Results from comparing predicted and experimentally determined concentrations, observations and predictions of pH, alkalinity and calcium concentration in calcite‐saturated solutions agree to the second significant figure; in gypsum‐saturated solutions the standard difference between observations and predictions is <3% in absolute values. The algorithms in SALTIRSOIL have been verified and SALSOLCHEM validated for the reliable calculation of soil salinity, sodicity and alkalinity at water saturation in well‐drained irrigated lands. In simulations for horticultural crops in southeast Spain, soil solution concentration factors at water saturation, quotients of electrical conductivity (EC25) at saturation to electrical conductivity in the irrigation water, and quotients of sodium adsorption ratio (SAR) are very similar to average measured values for the area.
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spelling ReDivia47352025-04-25T14:44:17Z SALTIRSOIL: a simulation model for the mid to long-term prediction of soil salinity in irrigated agriculture Visconti, Fernando De-Paz, José M. Rubio, José L. Sanchez, J. The SALTIRSOIL model predicts soil salinity, sodicity and alkalinity in irrigated land using basic information on soil, climate, crop, irrigation management and water quality. It extends the concept of the WATSUIT model to include irrigation and crop management practices, advances in the calculation of evapotranspiration and new algorithms for the water stress coefficient and calculation of electrical conductivity. SALTIRSOIL calculates the soil water balance and soil solution concentration over the year. A second module, SALSOLCHEM, calculates the inorganic ion composition of the soil solution at equilibrium with soil calcite and gypsum at the soil’s CO2 partial pressure. Results from comparing predicted and experimentally determined concentrations, observations and predictions of pH, alkalinity and calcium concentration in calcite‐saturated solutions agree to the second significant figure; in gypsum‐saturated solutions the standard difference between observations and predictions is <3% in absolute values. The algorithms in SALTIRSOIL have been verified and SALSOLCHEM validated for the reliable calculation of soil salinity, sodicity and alkalinity at water saturation in well‐drained irrigated lands. In simulations for horticultural crops in southeast Spain, soil solution concentration factors at water saturation, quotients of electrical conductivity (EC25) at saturation to electrical conductivity in the irrigation water, and quotients of sodium adsorption ratio (SAR) are very similar to average measured values for the area. 2017-06-01T10:10:52Z 2017-06-01T10:10:52Z 2011 DEC 2011 article Visconti, F., De Paz, J.M., Rubio, J.L., Sanchez, J. (2011). SALTIRSOIL: a simulation model for the mid to long-term prediction of soil salinity in irrigated agriculture. Soil Use and Management, 27(4), 523-537. 0266-0032 http://hdl.handle.net/20.500.11939/4735 10.1111/j.1475-2743.2011.00356.x en openAccess Impreso
spellingShingle Visconti, Fernando
De-Paz, José M.
Rubio, José L.
Sanchez, J.
SALTIRSOIL: a simulation model for the mid to long-term prediction of soil salinity in irrigated agriculture
title SALTIRSOIL: a simulation model for the mid to long-term prediction of soil salinity in irrigated agriculture
title_full SALTIRSOIL: a simulation model for the mid to long-term prediction of soil salinity in irrigated agriculture
title_fullStr SALTIRSOIL: a simulation model for the mid to long-term prediction of soil salinity in irrigated agriculture
title_full_unstemmed SALTIRSOIL: a simulation model for the mid to long-term prediction of soil salinity in irrigated agriculture
title_short SALTIRSOIL: a simulation model for the mid to long-term prediction of soil salinity in irrigated agriculture
title_sort saltirsoil a simulation model for the mid to long term prediction of soil salinity in irrigated agriculture
url http://hdl.handle.net/20.500.11939/4735
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