The use of water allocation efficiency in optimizing crop production in drylands using a fuzzy trading model

Abstract

Considering the importance of agriculture in food security in arid and semiarid areas, it is absolutely necessary to apply the planning model based on different objectives. This study has been conducted to simulate the trading and non-trading policies in the Particle Swarm Optimization framework for estimating the optimal economic values of agricultural water in Jilin province, northeastern China. Fuzzy solutions have been also calculated by definition of the feasible domain for water availability and permits. A generalized extreme value function was incorporated into the problem to predict the rainfall amounts with a 25-year return period. The results showed that determining the agricultural pattern using a trading policy with the aim of benefiting from the water will reduce the water demand in the study area. The trading policy can lead to a more efficient allocation of released water and reduce water scarcity, but it can eliminate some plants from the cropping pattern by reducing the water level. As a result, trading policy can be effective in the short term, especially in drought conditions due to insufficient water supply.