Multi-objective Optimal And Optimized Selection Of The Solution For Water Resources In Awati Irrigation Areas Of Xinjiang

The Awati Irrigation Areas in Xinjiang is located in southern Tianshan piedmont,on the northwestern edge of the Tarim Basin,and belongs to the Aksu region of Xinjiang.The local rainfall is scarce and evaporation is strong,agricultural production in the irrigation area mainly relies on irrigation,so there are problems such as insufficient irrigation water and low irrigation efficiency.Under the current background of severe water shortages,the selection of traditional water resources allocation methods and unreasonable water allocation schemes will further aggravate the dilemma of modern agricultural production.Therefore,the rational allocation of limited water resources is essential for improving the efficiency of agricultural,increasing local economic benefits and maintenance of the agricultural ecosystem play an important role.This paper takes the Awati irrigation area as the research object,aiming at uncertainty of the algorithm and the selection of the optimal scheme for the multi-objective optimal allocation model of water resources in the irrigation area,and builds a multi-objective optimal allocation model of water resources in the irrigation area based on algorithm optimization.Carry out allocation;establish the evaluation system and evaluation model of water resources allocation plan,and screen out the optimal plan of water resources allocation in the irrigation area.The main results are as follows:(1)Construct a multi-objective optimal allocation model of water resources in irrigation areas.Guided by the sustainable development of the Awati Irrigation areas,taking local resource status,technical limitations and per capita food security as constraints,establish a multi-objective optimal allocation model of water resources in the irrigation area,and comprehensively consider the impact of various factors on the allocation of water resources in the irrigation area.Configure the water consumption of the main crops in each growth stage in the irrigation area.(2)Choose the optimal algorithm for model solving.The CNSGA-II,CNSGA-III,and CMOEA/D algorithms are used to solve the optimization model,and the evolutionary algorithm evaluation index HV is introduced.The results show that the CNSGA-III algorithm has the largest average HV index and the smallest standard deviation,indicating the best performance,the model is determined to be solved by the CNSGA-III algorithm.(3)Optimization of water resources allocation plan.Constructing an evaluation system for water resources allocation schemes in irrigation areas with economy-society-ecology as subsystems,and using entropy weight-TOPSIS comprehensive evaluation model to evaluate 27 water resources allocation schemes.The results show that:Option 24 is the optimal option.In this option,the cotton planting area is102.37×10~4 mu,the water distribution is 5.210×10~8 m~3,the corn planting area is 15.91×10~4mu,the water distribution is 0.836×10~8 m~3,and the wheat planting area is 11.23×10~4 mu,with a water distribution of0.644×10~8 m~3,the net economic benefit of this solution is 12.736×10~8 yuan,the total agricultural water consumption is 6.690×10~8 m~3,and the total carbon absorption is 5.999×10~8 kg.Compared with the optimization before,the economic benefit has increased by 8.47%,the total agricultural water consumption has been reduced by 6.75%,and the total carbon absorption has increased by 4.67%.