Affiliation:
1. Tianjin Chengjian University
Abstract
Abstract
The phenomenon of water resources caused by unreasonable use of water resources is becoming more frequent, the demand for the optimization allocation of water resources is also increasing. The optimal allocation of water resources refers to the rational allocation of regional water resources by scientific and effective methods under the premise that the total amount of water resources is limited, comprehensively considering social、economic and ecological benefits. In this paper, the status of water resources in Jinzhong City is analyzed, the demand for optimizing the allocation of water resources in Jinzhong City is considered comprehensively, and a model of Jinzhong Water Resources Optimized Configuration Model with social benefits、economic benefits and ecological benefits is established. Finally, the improved NSGA-III algorithm is applied to the optimized configuration model of the water resources of Jinzhong City and conducted instance analysis, at the same time, it is compared with other intelligent algorithm solutions. Example analysis results show that the water resources optimization configuration based on the improved NSGA-III algorithm is less lacking、higher economic benefits and less discharged pollutants than the other intelligent algorithm optimization configuration solution based on the improved NSGA-III algorithm, and the feasibility of the optimization of water resources in Jinzhong City based on the improved NSGA-III algorithm is proved. Based on the different targets of decision makers for different goals, three optimized configuration solutions and three solutions are given, these configuration schemes also take into account social、 economic benefits and ecological benefits at the same time, which can effectively solve the problem of optimizing the configuration of water resources with multi sub-regions, multi water sources, multi users and multi multiple constraints, and can provide a new way of thinking for water resources allocation and planning in Jinzhong city.
Publisher
Research Square Platform LLC
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