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  • 标题:Models of Dynamic Data for Emergency Response: A Comparative Study
  • 本地全文:下载
  • 作者:Sisi Zlatanova ; A. Dilo ; M. de Vries
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2010
  • 卷号:XXXVIII Part 4
  • 出版社:Copernicus Publications
  • 摘要:The first hours after a disaster happens are very chaotic and difficult but perhaps the most important for successfully fighting theconsequences, saving human lives and reducing damages in private and public properties. Despite some advances, completeinventory of the information needed during the emergency response remains challenging. In the last years several nationally andinternationally funded projects have concentrated on inventory of emergency response processes, structures for storing dynamicinformation and standards and services for accessing needed data sets. A good inventory would clarify many aspects of theinformation exchange such as data sets, models, representations; a good structuring would facilitate the fast access to a desiredpiece of information, as well as the automation of analysis of the information. Consequently the information can be used betterin the decision-making process.This paper presents our work on models for dynamic data for different disasters and incidents in Europe. The Dutch data modelsare derived from a thorough study on emergency response procedure in the Netherlands. Two more models developed within theproject HUMBOLDT reflect several cross border disaster management scenarios in Europe. These models are compared withthe Geospatial Data Model of the Department of Homeland Security in USA. The paper draws conclusions about the type ofgeographical information needed to perform emergency response operations and the possibility to have a generic model to beused world-wide
  • 关键词:UML Model; 3D; DBMS; Spatial Data Infrastructure; Hazard; Disaster Management
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