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Cairo University (2012)

Satellite Based Decision Support System for Irrigation Water Management in the Delta of Egypt

Fathy Abel-Hameed Hamouda

Titre : Satellite Based Decision Support System for Irrigation Water Management in the Delta of Egypt

نظام دعم القرار بناءً على بيانات الأقمار الإصطناعية فى مجال إدارة مياه الرى فى دلتا مص

Auteur : Fathy Abel-Hameed Hamouda

Université de soutenance : Cairo University

Grade : Doctor of Philosophy (PhD) 2012

Résumé
This thesis proposed a new approach that integrates remote sensing information, surface energy balance based models, and time series analysis techniques to develop prediction models of actual evapotranspiration. The Surface Energy Balance Algorithm for Land (SEBAL) is applied for the estimation of actual evapotranspiration (ETa). The study area is the Middle Delta and the study period is nine years. The time domain of the study is evenly divided so that each year is divided into 36 seasons. The output of SEBAL model is maps of seasonal actual evapotranspiration for the study area. Multiple Regression and the Periodic Autoregressive and Moving Average (PARMA) model are used to develop seasonal ETa predictive models using past seasonal ETa. The multiple regression and PARMA models are developed using seven years and validated using two years. The performance of the multiple regression models and the PARMA models is compared using the R2 value of the regression between the predicted values and the observed values. The PARMA models showed better performance than the multiple regression models. The proposed approach supports the irrigation water management process by providing a new scientific and technical mechanism to release water downstream the intermediate control structures on the right time and with the required quantity.

Mots clés : Remote sensing, Irrigation water management, Time series

Présentation

Page publiée le 21 octobre 2018, mise à jour le 31 mars 2020