Management of Irrigation Water for Cropping Pattern Using a Mathematical Linear Programming Methodology / Case Study
Year: 2025
Type: article
Abstract: The main objective is to study the efficiency of using the linear programming methodology in management of irrigation water of cropping pattern in Swaida Province, Syria, through a questionnaire targeting 106 farmers during 2021-2022. In the actual crop pattern, irrigation water estimated at 5.9 million m3, while the proposed cropping pattern model reduced it by 44.86% where it estimated at 3.25 million m3. Each crop has obtained an Irrigation water requirement according to the FAO CROPAT 8.0 program. The proposed linear programming model increased in the area of: peas, Dry Broad Beans, parsley, beans, garlic, pepper, cabbage, Squash, eggplant, Cucumbers, Cauliflower about 691.96%, 656.21%, 398.72%, 277.98%, 204.51%, 175.44%, 118.21 %, 88.43 %, 61.56 %, 32.43 %, 23.82 % respectively over the actual area. and reducing the area of: Okra, watermelon, cucumber Ajour, potatoes, melon, tomato, wheat, onions by 5.14%, 12.08%, 15.24%, 18.54%, 28.66%, 83.75%, 88.32%, 90%, respectively, of the actual area. The study recommends the necessity of interfering in preparing agricultural plans for cropping pattern by relying on correct scientific methodologies and away from randomness in a manner that serves the achievement of self-sufficiency and preservation of available resources, and sustainability of natural resources that are characterized by scarcity, especially water.
Source: Acta agriculturae Slovenica
Authors: Maya Al-ABDALA, Safwan ABOASSAF, Afraa SALLOWM
Language: English
Subfield: Soil Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4415036013
FWCI:
Cites:
Cited by:
Related to: