Research On The Disaster Relocation Assignment Model For "Islands" In Flood Disasters

Floods are one of the most frequent disasters in China.They have a wide range of hazards and seriously threaten the lives of residents.Affected by the degree of disaster and regional geographic conditions,it is often the case that roads in crowded areas are flooded and victims are trapped and unable to escape on their own or organize escapes that are very difficult.Emergency evacuation and proper placement of people trapped in "isolated islands" are the top priorities for emergency rescue work.This article takes this problem as the research object,based on the relevant research results at home and abroad,and takes demand analysis and optimization modeling as the research methods,comprehensively considering the needs of the affected people,the ability of the settlement site,the evacuation road network and the water surface impedance From multi-objectives to systemic goals,specifically carry out research on the formulation of evacuation decision methods and evacuation plans for individuals(small groups)affected by the flood "isolated island" phenomenon.First,focus on the problem of resettlement needs of affected people,and analyze and model the competence of resettlement sites.Based on the characteristics of resettlement capacity,medical level,etc.,this paper establishes a resettlement site competence evaluation index system to quantify the subjective competence evaluation index;the goal is to match the settlement site’s competence with the disaster victims’ resettlement needs.A sub-model for the competence of resettlement sites was constructed.Second,introduce disaster resistance and expand the analysis and modeling of road capacity in "island" rescue.This paper considers the particularity of emergency rescue of the "isolated island" problem of floods,describes the road capacity in terms of traffic evacuation capacity and waterway evacuation capacity,and quantifies the traffic evacuation capacity and waterway evacuation capacity of the evacuation assigned route by the concepts of traffic impedance and disaster impedance,respectively With the goal of optimizing the evacuation route capacity,a sub-model of road capacity was established.Then,considering the competencies and road capacity of the resettlement sites in parallel,a dual-target resettlement assignment model is constructed,and algorithms and application strategies are studied.On the basis of demand assessment and evacuation road network decision,weigh the impact of resettlement site competence and road traffic capacity on the emergency rescue of flood islands,and apply the dual-objective optimization theory to best meet the needs of affected people for resettlement sites and evacuation Set up a dual-target emergency rescue assignment model with the least resistance for the resettlement of disaster victims,with a view to applying the model and its algorithm to obtain a proper resettlement of the disaster victims and a fast arrival in the established evacuation road network.The decision-making plan of placement and assignment.Finally,verify and apply the placement assignment model and its algorithm.Based on the historical cases of flood islands in the past,this paper builds a more complex flood simulation scenario with multiple islands.By consulting relevant data and literature,and using satellite platforms to assign values to indicators or parameters within a reasonable range,an example of flood relief "isolated island" emergency rescue placement assignment was designed.Combined with the calculation analysis of the calculation examples,the thoughts and methods of applying the resettlement assignment model and algorithm proposed in this paper to the evacuation and resettlement strategies of disaster-stricken personnel are explained.The results of the calculation example show that the resettlement assignment plan(the affected people in the "island" →stops→resettlement point)obtained by the model and the Hungarian algorithm is better than other resettlement assignment plans,which validates the model and algorithm proposed in this paper The feasibility of a better placement designation is obtained.