Open AccessResearch on the Personnel Shelter Location and Evacuation Route Model Planning under Emergent Events
Author(s) -
Xuan Sun,
Yi-zhou Chen,
Zi-na Zhan
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/510/6/062015
Subject(s) - population , emergency management , emergency evacuation , computer science , settlement (finance) , operations research , shortest path problem , human settlement , transport engineering , engineering , geography , waste management , graph , demography , theoretical computer science , sociology , meteorology , political science , law , world wide web , payment
Based on the reaction lag of emergency response, inadequate emergency rescue capacity and unreasonable emergency supply allocation and shelter location, it was of great significance to study the reasonable shelter locations and rapid evacuation route under major emergencies for the purpose of disaster prevention and mitigation. The Voronoi diagram partition method was carried out to determine the optimal layout and rational allocation of settlements based on the influence mode of emergency events and characteristics of personnel transfer and settlement, as well as the transfer distance impedance value was 2000 m. The possible population capacity of the settlement was used as weight of settlement planning selection, and a nonlinear full coverage solution model of settlements with shortest path was established. The solution method of the escape route for rapid personnel transfer under major emergencies was proposed to which according to the personnel settlement layout optimization model. Based on the poison gas diffusion simulation particle model and the risk assessment model of road section disaster of the cellular automaton, the path solving system of multi-source concurrent gas leakage and rapid diffusion of toxic gas under complex wind field conditions and dynamic prediction were also developed to predict disaster changes over time and provide technical support for early planning to avoid disasters and rapid personnel transfer.