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
Document type
Dataset
Creators
CreatorsAffiliationORCID
Varela-Ortega, ConsueloUniversidad Politécnica de Madrid0000-0002-3714-4097
Esteve, PalomaUniversidad Politécnica de Madrid0000-0003-1216-9156
Blanco-Gutiérrez, IreneUniversidad Politécnica de Madrid0000-0002-6105-3339
Boubakri, NajibUniversidad Politécnica de Madrid0000-0002-1393-3657
Scardigno, AlessandraInstituto Agronomico Mediterraneo di Bari0000-0001-9196-1090
Lamaddalena, NicolaInstituto Agronomico Mediterraneo di Bari
Khadra, RoulaInstituto Agronomico Mediterraneo di Bari0000-0003-2117-1557
Subjects
DOI
Contributors
NameAffiliationORCIDType
Varela-Ortega, ConsueloUniversidad Politécnica de Madrid0000-0002-3714-4097Contact person
Scardigno, AlessandraInstituto Agronomico Mediterraneo di Bari0000-0001-9196-1090Contact person
Cherif, AmeurInstitut Supérieur de Biotechnologie de Sidi Thabet0000-0001-7310-3842Researcher
Chouchane, HabibInstitut Supérieur de Biotechnologie de Sidi Thabet0000-0002-6310-3758Researcher
Belguith, KhaoulaInstitut Supérieur de Biotechnologie de Sidi Thabet0000-0002-0479-4122Researcher
El-Din Abdin, AlaaNational Water Research CenterResearcher
Abdel Motaleb, AlaaNational Water Research CenterResearcher
Choukr-Allah, RedouaneInstitut Agronomique et Vétérinaire Hassan IIResearcher
El-Otmani, MohamedInstitut Agronomique et Vétérinaire Hassan IIResearcher
Deposit date
13 Jul 2020 14:08
Last modified
15 Jul 2020 13:07
Project name
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
Funding program
EC - H2020
URI

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