Optimal allocation of multi-objective water treatment based on hybrid particle swarm optimization algorithm

It is complicated to plan well and manage water resources. Therefore, a better regional development plan requires effective modeling tools for water management. The work aims to put forward a method for optimizing water system, that is, to optimize water supply and distribution facing water shortage. In term of water system, users' total demand for water is over the water supply. On that account, it is necessary to consider the priority among the conflicting demands. To put it more specific, a mathematical method is developed in the study for optimally allocating water resources of different sources exhibiting different supply and use cost to different users. A feasible framework is put forward for evaluating how the proposed measures can impact the best water resource allocation. We adopted the hybrid particle swarm optimization (HPSO) algorithm for the purpose of obtaining a set of optimal solutions. We put the abovementioned model and framework in a case study. In general, according to study result, the framework, which is used to evaluate the impact of measures laid out on the allocation of water resource is proved to be beneficial for the management of water resources, which, in addition to the study area, can be seen in different places which see different condition of water use resulted from the climate variation and human behavior.