Khadra, Roula ;
Dragonetti, Giovanna
(2020)
MADFORWATER. Predictive Model for Treated Wastewater Irrigation Management in a Semiarid Area. Development and Application.
Università di Bologna.
DOI
10.6092/unibo/amsacta/6492.
[Dataset]
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Abstract
A predictive model SIM (Safe Irrigation Management Model) developed to propose the optimal water and nutrients’ management scenario of crops, was applied with this aim to schedule irrigation of citrus plantations served with Treated Wastewater (TWW) in Souss Massa (Morocco). The database refers to this specific case study.
Irrigation was scheduled under a controlled management that complies with i) TWW and with ii) FW, and to reproduce the farmers’ strategy. The dataset provided are collected input data into the model subroutines particularly climate, soil, water quality and crop parameters used to simulate a TWW management scenario and to compare it to the farmer strategy adopted under conventional water management scenario, and outputs of SIM used to assess the predicted effects of TWW irrigation management on soil and Citrus quality. The results demonstrated the inadequacy of adopting the conventional strategy with TWW and the importance of predictive modeling as a decision support tool for TWW management.
Abstract
A predictive model SIM (Safe Irrigation Management Model) developed to propose the optimal water and nutrients’ management scenario of crops, was applied with this aim to schedule irrigation of citrus plantations served with Treated Wastewater (TWW) in Souss Massa (Morocco). The database refers to this specific case study.
Irrigation was scheduled under a controlled management that complies with i) TWW and with ii) FW, and to reproduce the farmers’ strategy. The dataset provided are collected input data into the model subroutines particularly climate, soil, water quality and crop parameters used to simulate a TWW management scenario and to compare it to the farmer strategy adopted under conventional water management scenario, and outputs of SIM used to assess the predicted effects of TWW irrigation management on soil and Citrus quality. The results demonstrated the inadequacy of adopting the conventional strategy with TWW and the importance of predictive modeling as a decision support tool for TWW management.
Document type
Dataset
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Subjects
DOI
Contributors
Deposit date
12 Oct 2020 10:09
Last modified
14 Oct 2020 13:43
Related identifier
Project name
Funding program
EC - H2020
URI
Other metadata
Document type
Dataset
Creators
Subjects
DOI
Contributors
Deposit date
12 Oct 2020 10:09
Last modified
14 Oct 2020 13:43
Related identifier
Project name
Funding program
EC - H2020
URI
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