Soil salinization is becoming worldwide one of the most serious land degradation issues. Seawater intrusion in upper aquifers is responsible for the largest proportion of salt-affected agricultural lands in coastal areas. In this study, the impact of different irrigation strategies on the salinity of a maize cultivated field located in the coastal plain of Ravenna, Italy, was simulated with the FAO AquaCrop model. Model calibration was supported by comparison with remote-sensed and field collected crop data. Ten irrigation scenarios were tested by varying the irrigation season length, the soil moisture threshold for irrigation (TI), and the irrigation depth (ID), in presence or absence of flooded pipe drains (FD) to create a fresh-water lens preventing salt rising from brackish groundwater. FD show to be more effective in countering soil salinization than strategies exclusively based on supplying enough water to obtain salt leaching (SL). The best result, in terms of both fodder maize yield and salinization control, is achieved with the combination: FD immediately after sowing, irrigation inhibited in May, TI set at 50% of soil readily available water (RAW), and ID modulated to exceed field capacity and obtain SL. The worse strategy is revealed to be the non-FD scenario, coupled with no irrigation in May and August, TI ranging between 65 and 80% of soil RAW depletion, and ID set at 50 mm. Even if water-conservative, this approach results in high soil salinization and leads to significant yield decrease.

Smart water and soil-salinity management in agro-wetlands / Marinella Masina, Roberta Calone, Lorenzo Barbanti, Claudio Mazzotti, Alberto Lamberti, Maria Speranza. - In: ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL. - ISSN 1582-9596. - STAMPA. - 18:10(2019), pp. 2273-2285.

Smart water and soil-salinity management in agro-wetlands

Marinella Masina
;
Roberta Calone
Membro del Collaboration Group
;
Lorenzo Barbanti
Membro del Collaboration Group
;
Alberto Lamberti
Supervision
;
Maria Speranza
Funding Acquisition
2019

Abstract

Soil salinization is becoming worldwide one of the most serious land degradation issues. Seawater intrusion in upper aquifers is responsible for the largest proportion of salt-affected agricultural lands in coastal areas. In this study, the impact of different irrigation strategies on the salinity of a maize cultivated field located in the coastal plain of Ravenna, Italy, was simulated with the FAO AquaCrop model. Model calibration was supported by comparison with remote-sensed and field collected crop data. Ten irrigation scenarios were tested by varying the irrigation season length, the soil moisture threshold for irrigation (TI), and the irrigation depth (ID), in presence or absence of flooded pipe drains (FD) to create a fresh-water lens preventing salt rising from brackish groundwater. FD show to be more effective in countering soil salinization than strategies exclusively based on supplying enough water to obtain salt leaching (SL). The best result, in terms of both fodder maize yield and salinization control, is achieved with the combination: FD immediately after sowing, irrigation inhibited in May, TI set at 50% of soil readily available water (RAW), and ID modulated to exceed field capacity and obtain SL. The worse strategy is revealed to be the non-FD scenario, coupled with no irrigation in May and August, TI ranging between 65 and 80% of soil RAW depletion, and ID set at 50 mm. Even if water-conservative, this approach results in high soil salinization and leads to significant yield decrease.
2019
Smart water and soil-salinity management in agro-wetlands / Marinella Masina, Roberta Calone, Lorenzo Barbanti, Claudio Mazzotti, Alberto Lamberti, Maria Speranza. - In: ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL. - ISSN 1582-9596. - STAMPA. - 18:10(2019), pp. 2273-2285.
Marinella Masina, Roberta Calone, Lorenzo Barbanti, Claudio Mazzotti, Alberto Lamberti, Maria Speranza
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/730073
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