Abstract
Improving irrigation efficiency in order to balance water supply and demand has become an urgent need for social development in the northwest of China. In this paper, we propose an irrigation water distribution model based on the genetic backtracking search algorithm (GBSA). This algorithm is composed of two main modules, the vector evaluation genetic algorithm (VEGA) and the backtracking search algorithm (BSA). We applied the GBSA model in the Xijun irrigation district of Heihe River Basin. The VEGA module was first used to optimize water distribution in the irrigation district, and ensure a uniform flow rate and a minimum hydraulic loss in the main canal. Moreover, the advantage of BSA module in rapid water distribution was utilized to further improve the overall water distribution velocity of the GBSA model. To evaluate the performance of the GBSA, both the grey relational analysis and the TOPSIS method were used to comprehensively evaluate its various indicators. The results show that the GBSA can meet the water distribution requirements of the whole canal irrigation system, maintaining uniform flow rate, minimizing unused water and water distribution time to optimize irrigation water distribution. At the same time, the GBSA has better performance compared to other existing methods for irrigation water distribution.
Highlights
Water used for agriculture in China accounts for 62.4% of its freshwater resources, which form the foundation for food security [1]
METHODOLOGY first we present the individual optimization models based on the vector evaluation genetic algorithm (VEGA) and backtracking search algorithm (BSA)
AND DISCUSSION we compare the performance of the genetic backtracking search algorithm (GBSA) with the BSA and VEGA in terms of irrigation times, unused water, stability and other comprehensive indicators
Summary
Water used for agriculture in China accounts for 62.4% of its freshwater resources, which form the foundation for food security [1]. Due to uneven temporal and spatial distribution of water resources, the agricultural production conditions are poor in. Constrained by technology and natural conditions, it is difficult to further improve agricultural production efficiency. To meet the water demand for the crops, the agricultural irrigation water is mainly taken from the channel water supply [2], [3]. Optimizing the water distribution process of the canal system and improving the efficiency of irrigation water utilization are of great significance for alleviating the pressure on agricultural water usage and meeting the needs of a growing population [4], [5]
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