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Emergency Management Capacity Evaluation Model Of Urban Geological Disaster

Posted on:2014-01-19Degree:MasterType:Thesis
Country:ChinaCandidate:Q X TongFull Text:PDF
GTID:2250330422951052Subject:Management Science and Engineering
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Urban geological disaster emergency management capacity evaluation is theimportant content of urban emergency management, through the scientific means ofurban geological disaster emergency management capacity evaluation to enhanceeffective pointed out the method and the path of urban emergency management ability.In view of the current urban geological disaster emergency management capacityevaluation in domestic and foreign research development degree, through the researchof emergency ability degree of urban geological hazards in the system, the urbangeological hazard vulnerability degree and urban emergency management ability, thisarticle put forward using quantitative index system to complete the whole emergencymanagement capacity evaluation model of the resume. According to the research ofurban geological disaster emergency management I make the bedding for the study ofthe urban geological disaster emergency management ability. This article adopted theresearch methods of combining econometric and quantitative methods, such as artificialneural network, combined with the key link in the process of urban geological disasteremergency management, carried on the thorough research on emergency managementability to complete the model building and working process within the scope of thedefinition of emergency management ability.First of all, through the study and review of historical documents at home and abroad,this article excavated the research idea of emergency management capacity evaluationindex system, combining the understanding to urban geological disasters are point ofcity’s impact. This article think we should make it from the social, economic andenvironmental dimensions of urban geological disaster emergency management abilityindex for identification and selection, based on the geological disaster emergencymanagement ability at the core of the link is determined step by step, then according tothe predecessors’ research achievements, standardized quantitative indicators ofquantitative methods, purposeful select the quantitative indicators form the indexsystem.Secondly, on the research of mathematical model constitute of comprehensiveevaluation, in view of the previous studies of most choose fuzzy AHP and fuzzy DHmethod, etc, in order to avoid the subjectivity of serious problems, this article select theartificial neural network to construct a model for the index system by self learning, toachieve the model establish. Then use statistical method to evaluation the validitytesting measurement, analyzed the validity and completeness of the evaluation indexsystem.Finally, using the model of urban geological disaster emergency management ability evaluation, according to the information of6area of Shenzhen, this article make adiscuss of the development level of geological disaster monitoring system platformconstruction, disaster forecast, the disaster prevention and disaster prevention drill planthat implemented in the residents, guidance of the construction of city disaster planning,help the government related department to finish making contingency plans, reasonablestrengthening legal standardization, then refine the investment of disaster preventionand disaster mitigation; Eventually this article is aimed at promote the construction ofdigital disaster city, from the perspective of urban construction system, maximize theinput-output ratio, realizing urban sustainable development, protect the city’s economicdevelopment and people’s earned income, lead the research of urban geological disasteremergency management ability to broaden platform, foreshadowing a more objectiveand effective path of urban emergency management capacity evaluation.
Keywords/Search Tags:geological disaster, emergency management ability, city development, prevention and reduction of natural disasters, artificial neural networks
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