MADFORWATER. WP3 Adaptation of technologies for efficient water management and treated wastewater reuse in agriculture. Task3.3 Integrated physical and economic model for land and water use optimization. Tunisian, Egyptian and Moroccan basins

Varela-Ortega, Consuelo ; Esteve, Paloma ; Blanco-Gutiérrez, Irene ; Boubakri, Najib ; Scardigno, Alessandra ; Lamaddalena, Nicola ; Khadra, Roula (2020) MADFORWATER. WP3 Adaptation of technologies for efficient water management and treated wastewater reuse in agriculture. Task3.3 Integrated physical and economic model for land and water use optimization. Tunisian, Egyptian and Moroccan basins. University of Bologna. DOI 10.6092/unibo/amsacta/6429. [Dataset]
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Abstract

This dataset includes MADFORWATER Task 3.3 data, that were used for the development, application and calibration of an integrated agro-economic model with hydrology and water parameters for optimizing farm income, cropping pattern and water allocation in the three case studies area of MADFORWATER project. The case study areas are: the irrigated farming system in the Kafr-El-Sheikh Region (Egypt), the citrus farming system in Souss-Mass region (Morocco), and the annual and permanent irrigated farming in the Nabeul Governorate (Tunisia). In particular, the dataset includes data on: cultivated and irrigated surface cropping patterns, irrigation requirements and schedules, water availability and water consumption, crop characteristics (yields, prices and production costs), economic performance (farm income, labor use, etc.), performance indicator of irrigation technologies. The data scale is referred to the 3 selected basins, where the integrated technologies and strategies were tested and implemented. The integrated model validated and tested was used in other MADFORWATER tasks, such as those developed in WP5, to develop water & land management strategies for an optimal exploitation of the irrigation technologies developed WP3, and for the assessment of the impact of economic instruments for improving irrigation efficiency and for enhancing wastewater reuse in agriculture. Potential users for this dataset include: (i) policy-makers or other decision-makers involved in water management and planning or agricultural policy development; (ii) researchers and companies active in the fields of treated wastewater (TWW) reuse, water resources management, irrigation and agricultural and natural resource economics.

Abstract
Tipologia del documento
Dataset
Autori
AutoreORCIDAffiliazioneROR
Varela-Ortega, Consuelo0000-0002-3714-4097Universidad Politécnica de Madrid
Esteve, Paloma0000-0003-1216-9156Universidad Politécnica de Madrid
Blanco-Gutiérrez, Irene0000-0002-6105-3339Universidad Politécnica de Madrid
Boubakri, Najib0000-0002-1393-3657Universidad Politécnica de Madrid
Scardigno, Alessandra0000-0001-9196-1090Instituto Agronomico Mediterraneo di Bari
Lamaddalena, NicolaInstituto Agronomico Mediterraneo di Bari
Khadra, Roula0000-0003-2117-1557Instituto Agronomico Mediterraneo di Bari
Settori scientifico-disciplinari
DOI
Contributors
Contributor
ORCID
Tipo
Affiliazione
Varela-Ortega, Consuelo
Contact person
Universidad Politécnica de Madrid
Scardigno, Alessandra
Contact person
Instituto Agronomico Mediterraneo di Bari
Cherif, Ameur
Researcher
Institut Supérieur de Biotechnologie de Sidi Thabet
Chouchane, Habib
Researcher
Institut Supérieur de Biotechnologie de Sidi Thabet
Belguith, Khaoula
Researcher
Institut Supérieur de Biotechnologie de Sidi Thabet
El-Din Abdin, Alaa
Researcher
National Water Research Center
Abdel Motaleb, Alaa
Researcher
National Water Research Center
Choukr-Allah, Redouane
Researcher
Institut Agronomique et Vétérinaire Hassan II
El-Otmani, Mohamed
Researcher
Institut Agronomique et Vétérinaire Hassan II
Data di deposito
13 Lug 2020 14:08
Ultima modifica
30 Nov 2024 22:00
Nome del Progetto
MADFORWATER - DevelopMent AnD application of integrated technological and management solutions FOR wasteWATER treatment and efficient reuse in agriculture tailored to the needs of Mediterranean African Countries
Programma di finanziamento
EC - H2020
URI

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