2024 : 4 : 29
Hadi Sanikhani

Hadi Sanikhani

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 54927038000
Faculty: Faculty of Agriculture
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Research

Title
Optimal agricultural management pattern assessment using water-energy-food nexus approach
Type
Presentation
Keywords
cropping pattern optimization, system dynamics, water-food-energy nexus, Chardoli plain, adaptive management
Year
2022
Researchers Zakaria Esmailpour ، Hadi Sanikhani ، Reza Adiban

Abstract

Water is one of the most important factors in the growth and development of countries. The lack of drinking water on the one hand, and the increasing need for food, on the other hand, have faced a serious crisis in the available water resources. The studies show that the studies regarding the water, food, and energy nexus index are very limited in the field of agriculture and at the level of basins. Therefore, the purpose of this research is to investigate and determine the value of water, food, and energy nexus index for irrigated and rainfed agricultural products, both farming and garden, in the area of Qorveh-Dehgolan irrigated basin in Kurdistan province in the last few years. In this study, two different scenarios including water, food, and energy nexus and without it, are investigated. In the first scenario, the existing cultivation pattern in the region and in the second scenario, the proposed cultivation pattern will be evaluated according to the maximum value of water, food and energy nexus index. This method was done to use the linear optimization method to maximize the water-food-energy nexus index for the evaluation of 6 cultivated crops including cucumber, rapeseed, potato, wheat, alfalfa, and barley. In the statistical period of 2010-2020, it was studied in the Chardoli plain of Kurdistan province. The results of the optimization model indicated that the current cultivation pattern in Chardoli region is not suitable for the purpose of minimizing water and energy consumption and maximizing economic profit.