Research On Optimal Allocation Of Urban Water Resources Based On Multi-objective Planning

Water is the most basic natural resource for human development,and the problem of urban water resources is becoming increasingly prominent.In order to effectively alleviate the contradiction between supply and demand of water resources,comprehensively improve the utilization efficiency,and help the construction of water-saving cities,how to scientifically and efficiently achieve the optimal allocation of urban water resources has become an important issue that needs to be researched.The optimal allocation of urban water resources is a systematic problem,including multiple research objects,goals and constraints.In this paper,based on the analysis of the current situation of urban water resources allocation and existing problems,the actual distribution problem is transformed into a mathematical model in order to obtain efficient and accurate urban water distribution plans.Firstly,the multi-objective planning method is used to study various types of water users in various sub-districts of the city,and social,economic and ecological multiobjective benefit function expressions are used to characterize the configuration goals.Considering the positive effect of adding preference information in advance to improve the decision-making effect,combined with the combed water use correlation factors,the intuitive fuzzy set method was used to construct the priority decision model of each sub-region and each water user based on preference information.The above analysis results are converted into weight coefficients and applied to the multi-objective function.In view of the imperfect characteristics of sub-district statistical data at this stage,the gray forecast method with less data volume is selected to obtain the planned annual water supply and demand as a constraint,and the red line index in the most stringent water resources management system is used as a supplementary constraint.In this way,a multi-objective urban water resources optimization allocation model including variables,objective functions and constraints is formed.Secondly,combined with the characteristics of multi-variable,non-linear and strong conflict of the multi-objective optimization configuration model,the multi-objective Pareto effective solution is used to further improve the simulated annealing algorithm to form a solution scheme for the urban water resources optimization configuration model based on the simulated annealing multi-objective algorithm.Finally,taking Guangzhou as an example for model application analysis.The research results show that the multi-objective urban water resources optimization allocation model can quantitatively optimize the allocation of water resources,and the overall benefit of the program output by the model is optimal;the way of adding preference information to the decision-making process in advance improves the decision-making efficiency.The local jump and global search capabilities of the simulated annealing algorithm have strong applicability for solving nonlinear multi-objective programming problems.Combined with the research results,it provides policy implications for the sustainable use of urban water resources.The urban water resources optimal allocation model studied in this paper optimizes three types of social,economic,and environmental goals,and incorporates information such as decision preferences,water-saving space for water users,and institutional red-line constraints into the model,improving the output and efficiency of the allocation plan.The research results provide support for the construction of water-saving cities and the implementation of the most stringent water resources management system,and have certain theoretical and practical significance for urban water resources planning.