Informations et ressources scientifiques
sur le développement des zones arides et semi-arides

Accueil du site → Master → Italie → Surface irrigation for cotton and wheat at Ras El Ain : assessment and issues for improvement (Syria)

Istituto Agronomico Mediterraneo di Bari (IAMB) 2006

Surface irrigation for cotton and wheat at Ras El Ain : assessment and issues for improvement (Syria)

Darouich, Hanaa

Titre : Surface irrigation for cotton and wheat at Ras El Ain : assessment and issues for improvement (Syria)

Auteur : Darouich, Hanaa

Etablissement de soutenance : Istituto Agronomico Mediterraneo di Bari (IAMB) - Centre international de hautes études agronomiques méditerranéennes (CIHEAM)

Diplôme : Master of science : Land and water resource management : irrigated agriculture (2006)

Résumé
Ras Al Ain irrigation district is located in the north of Syria, an area with serious problems of water scarcity and agriculture sustainability. The actual irrigation practices have very low application efficiency and high labour requirements. Farmers apply less than appropriate irrigation schedules, creating water losses and crop water stress. To contribute to improve irrigated agriculture, field experimentation and modelling were carried out. Field evaluation of furrow irrigation with different conditions and irrigation scheduling modelling proved that surface irrigation has a high water saving potential and allows farmer.s income to increase. The application of a decision-support system to build up and select improved solutions shows that, for cotton irrigation, furrow and border methods give the best results with the slope-length combinations of 0.5% - 50 m and 0.8% - 100 m, for flat area, or 150-200m, for sloping areas. For wheat irrigation, several options are feasible, being the level furrowed basin the best performing system for flat fields, but also the flat level basin is an acceptable solution, and the graded borders, with 0.5 and 0.8% slope, for sloping fields.

Mots-clés : SYRIA SURFACE IRRIGATION IRRIGATION SCHEDULING FURROW IRRIGATION MULTICRITERIA ANALYSIS DECISION SUPPORT SYSTEMS

Présentation (IAMB Library)

Page publiée le 19 juin 2014, mise à jour le 6 décembre 2017