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Jordan University of Science and Technology (JUST) 1997

DEVELOPMENT OF HYDROLOGICAL MODELS FOR ARID AND SEMI-ARIDREGIONS OF THE IRAQI WESTERN DESERT

Adel Hatem Hossain

Titre : DEVELOPMENT OF HYDROLOGICAL MODELS FOR ARID AND SEMI-ARIDREGIONS OF THE IRAQI WESTERN DESERT

Auteur : Adel Hatem Hossain

Université de soutenance : Jordan University of Science and Technology (JUST)

Grade : Master of Science (MS) 1997

Résumé
Iraq as well as other countries in the Middle East facing aridity problems, there is an obvious need for a deeper understanding of the hydrological mechanisms taking place in , catchments located in arid and semiarid regions. Rainfall-runoff models may play an ,important role in understanding the dynamical aspects of the hydrological processes that take place in arid regions. A mathematical model is necessary and needed in such cases to simulate and predict the runoff hydrograph. Successful application of these models rely heavily upon the hydrological data., such data are not available or might be not sufficient in most of the arid and semi-arid regions. This study aimed to use the available limited data (precipitation and runoff) in the Iraqi western desert (the study area of this research) to develop and apply different hydrological schemes (model$) to extend the available records f of stream flow. Two conceptual rainfall-runoff models are applied to the Iraqi western desert to simulate and predict the surface runoff hydro graph. The two models are the single event watershed model and the Surface infiltration Base flow (SFB) model The single event watershed model is based on the water balance equation. The inputs to the model are rainfall evaporation, and soil properties data. The output of the model is the simulated hydro graph. The ,Resonbrock optimisation technique is employed to determine the optimum parameters of the model Also a simple and a modified version of this model is suggested and tested for the study area.

Présentation

Page publiée le 14 octobre 2016, mise à jour le 10 septembre 2017