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Publishing a scientific research in a reputable international journal
2025-02-04
In a new scientific achievement, (Instructor Dr. Saleh Mahmoud Saleh), a researcher at the Upper Euphrates Center for Sustainable Development Research at the University of Anbar, in partnership with a group of researchers, was able to publish a scientific research in the journal (Membrane Technology), a sober international scientific journal within the second quartile Q2, (Cite Score 3.3) for 2022, with the research tagged:
(Mathematical Modeling in Agricultural Sciences: Strategies for Reducing Water Consumption in Irrigation)
The authors:
- Dr. Saleh Mahmoud Saleh / Upper Euphrates Center for Sustainable Development Research / University of Anbar.
- Dr. Harith Sada’a/ Center for Desert Studies/ University of Anbar.
- Dr. Khudair Yas / College of Science / University of Anbar.
- Dr. Mohammed Ismail / Center for Desert Studies / University of Anbar.
The main axis on which the research is based on (the problem of water scarcity), as this problem is one of the most important issues of interest around the world, because the use of water in agriculture constitutes the largest consumption of fresh water resources, as modern irrigation systems and reliance on modern scientific methods that save water can ensure food security without wasting water.
The research aims to improve mathematical models to improve the use of irrigation water without reducing the yield, as an analysis was conducted for a data set of 500 entries using mathematical modelling, and optimization based on input variables such as soil moisture, rainwater quantities, crop type and water consumption These models predicted water use and developed sustainable irrigation schedules according to environmental factors, as this study can reduce water consumption by up to 30% without affecting the final yield. This study also showed that the most important criteria for choosing the irrigation pattern were soil moisture and rainfall, while the Monte Carlo simulation demonstrated the strength of the model under different conditions.
The strength of the study is that predictive models can be integrated with the improved frameworks that have been developed, and every crop-specific strategy will be applicable, using a highly flexible and scalable system and challenging water scarcity issues.
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