Due to frequent floods and waterlogging disasters in recent years,the reservoir dam has been in disrepair and the late operation and management is improper.the number of dangerous reservoirs has increased year by year and the pressure of management has doubled.In this background,to speed up work on the dilapidated reservoirs and consolidate governance has become a top priority,and consolidation scheme comparison of decision-making is the key part of the landslide reinforcement work,in the practical work,are generally according to engineering experience or simple first to formulate the technical and economic comparison of schemes,and then determine the technical feasibility of the plan of feasibility and cost,Finally,a rough reinforcement scheme is obtained,which may ignore a large number of uncertainties in the construction process,resulting in some limitations in the scheme decision.Predecessor has made a lot of research on the decision-making of the risk-removing and reinforcement scheme,but there are still some problems such as imperfect decision-making index and too strong subjectivity of the scheme,which make the original scheme can not achieve the expected construction goal.In view of this,this paper proposes a new multi-objective decision-making method,which provides a systematic decision-making basis for the selection of reinforcement schemes for dangerous reservoirs.Based on an overview of earth-rock dam diseases and reinforcement schemes,and multi-objective decision-making evaluation theory,this paper analyzes and summarizes the characteristics and characteristics of various earth-rock dam reinforcement technologies by studying the danger elimination and reinforcement of reservoirs at home and abroad and commonly used earth-rock dam reinforcement technologies.Conditions apply.First of all,the Delphi method was used to make a preliminary selection of alternative reinforcement schemes for the earth-rock dam,and the advantages and disadvantages of each scheme were analyzed.Secondly,in response to the decision-making problem of the optimal plan for reservoir reinforcement,the literature analysis method was used to establish the basis of cost,construction period,seepage prevention quality,construction benefit economy,quality controllability,construction safety,construction difficulty,and environmental impact.A decision-making index system composed of 9 evaluation indexes including the advancement of construction technology.Then,by fitting the analytic hierarchy process and entropy method,the minimum deviation function is established to assign the index weight,and then the multi-objective decision-making model of the earth-rock dam danger elimination and reinforcement scheme is established based on the ideal solution method and the gray relational theory.Finally,with the reinforcement project of a dangerous reservoir in Jianchi Township as the background,four sets of alternatives were initially selected based on the disease problems exposed during the operation of the reservoir,and the multi-objective decision-making model for the reinforcement of earth-rock dams was used to calculate the close progress of each plan.The sorting results in the optimal risk elimination and reinforcement plan,which verifies the effectiveness of the multi-objective decision-making model of the earth-rock dam risk elimination and reinforcement plan.Based on the above analysis,this article systematically summarizes the relevant theories of scheme comparison and selection,and sums up a new set of multi-objective decision-making methods,which provides a theoretical reference for the optimal decision-making of dangerous reservoir reinforcement schemes,and is conducive to ensuring investment in existing water conservancy projects.In the case of large projects and large projects,every state investment in water conservancy infrastructure can be implemented and the maximum benefits of investment can be achieved,so as to prevent investment decision-making risks from the source and improve the decision-making of reservoir dam risk elimination and reinforcement.Management effectiveness. |