A model for predicting and improving irrigation water management in Egypt - corn as a case study [electronic resource].

Includes bibliographic reference.

Current And Predicted Irrigation Management (CAPIM) model was designed to predict and improve irrigation water management.
Its inputs include daily weather data and the outputs are daily evapotranspiration that could be estimated under current
conditions using Penman-Monteith equation (P-M), and under climate change using Hargreaves-Samani equation (H-S);
and determine the irrigation timing and the amount of water needed for each irrigation event. The CAPIM model was
used to develop irrigation schedule for corn crop at different geographic regions in Egypt as
(El-Dakahlia; El-Fayoum and Assuit) under RCP8.5 scenario and MIROC- ESM climate model during 2018s, 2040s, 2080s.
The model was also used to determine the best adaptive strategy for conforming to the predicted climate changes.
CAPIM results were verified by comparing them with results from two known programs (CropWat-8 and ETo-Estimation).
The results showed that CAPIM was obtained to predict the ETo values under current and predicted climate conditions
accurately where the agreement value was 0.99. Gross irrigation results during the projected periods 2040s and 2080s
are higher than 2018s in the three selected sites. El- Fayoum Governorate was the highest in terms of the number of
irrigations and the percentage of increasing GIR. As GIR increased by 28% in 2080s and 29 % in 2040s with 18 hills
totaling (2008 and 2077 mm/season), respectively. Moreover, increasing system efficiency by 5 % or 10 % was the best
adaptive strategy as it increased the potential yield by about 9 % and 18 % and the WP by 9.4 % and 18.7 %.
Keywords:
Irrigation water Management; CAPIM model; Corn crop; Climate change; Climate scenarios

Summary in Arabic.