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198501

A MODEL FOR PREDICTING AND IMPROVING IRRIGATION WATER MANAGEMENT IN EGYPT - CORN AS A CASE STUDY

Article

Last updated: 26 Dec 2024

Subjects

-

Tags

Agricultural Irrigation and Drainage Engineering

Abstract

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 %. 

DOI

10.21608/mjae.2021.96346.1047

Keywords

Irrigation water management, CAPIM model, Corn Crop, Climate Change, Climate scenarios

Authors

First Name

N. G.

Last Name

Abd El-Fattah

MiddleName

-

Affiliation

Assist. Prof., Ag. Eng. Dept., Fac. of Ag., Mansoura U., (Mansoura, Egypt).

Email

nadia_gamal91@mans.edu.eg

City

Mansoura

Orcid

-

First Name

H. N.

Last Name

Abd El-Mageed

MiddleName

-

Affiliation

Prof., Ag. Eng. Dept., Fac. of Ag., Mansoura U., (Mansoura, Egypt).

Email

hesham_nagy@mans.edu.eg

City

Mansoura

Orcid

-

First Name

M. M.

Last Name

Ibrahim

MiddleName

-

Affiliation

Assoc. Prof., Ag. Eng. Dept., Fac. of Ag., Mansoura U., (Mansoura, Egypt).

Email

mohamed_maher@mans.edu.eg

City

Mansoura

Orcid

0000-0003-1163-225X

Volume

39

Article Issue

1

Related Issue

29375

Issue Date

2022-01-01

Receive Date

2021-09-17

Publish Date

2022-01-01

Page Start

15

Page End

36

Print ISSN

1687-384X

Online ISSN

2636-3062

Link

https://mjae.journals.ekb.eg/article_198501.html

Detail API

https://mjae.journals.ekb.eg/service?article_code=198501

Order

2

Type

Original Article

Type Code

1,326

Publication Type

Journal

Publication Title

Misr Journal of Agricultural Engineering

Publication Link

https://mjae.journals.ekb.eg/

MainTitle

A MODEL FOR PREDICTING AND IMPROVING IRRIGATION WATER MANAGEMENT IN EGYPT - CORN AS A CASE STUDY

Details

Type

Article

Created At

23 Jan 2023