A data model for operational and situational information in emergency response

被引:19
作者
Dilo, Arta [1 ]
Zlatanova, Sisi [2 ]
机构
[1] Univ Twente, EWI, Pervas Syst, POB 217, NL-7500 AE Enschede, Netherlands
[2] Delft Univ Technol, OTB, GIS Technol, NL-2600 GA Delft, Netherlands
关键词
Database schemas; Spatiotemporal data; Disaster management; GIS; Hazards; Urban areas;
D O I
10.1007/s12518-011-0060-2
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Many software systems have been created to help the emergency responders in their activities all over the world. These systems are usually dedicated to a specific emergency situation or emergency response sector. Exchange of information between the different systems is difficult or not possible. While much progress is observed in accessing and sharing existing data, management of field (or dynamic) data is often overlooked. A lot of information coming from the field operations is either not archived or is stored in an unstructured way. This makes the analysis of data a difficult and slow process. This paper presents a data model for the management of dynamic data. The data model captures the situational information-incident and its effect-and the operational information-processes activated, people and departments involved. New data types are created for temporal and spatiotemporal information: dynamic counts, e.g. the number of injured or missing people, moving point and moving region, e.g. the position of vehicles or people and the gas plume. The model is derived from the emergency response procedure in the Netherlands. The information needs resulting from this procedure are, in a large part, valid for emergency situations everywhere, therefore the model can be easily adapted for other countries.
引用
收藏
页码:207 / 218
页数:12
相关论文
共 32 条
[1]   FAST AND ACCURATE RESIDENTIAL FIRE DETECTION USING WIRELESS SENSOR NETWORKS [J].
Bahrepour, Majid ;
Meratnia, Nirvana ;
Havinga, Paul J. M. .
ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, 2010, 9 (02) :215-221
[2]   Best practices in chemical emergency response preparedness and incident management: Rendering comprehensive models through the utilization of streaming meteorological data, active sensor readings, complex terrain compensation, and GIS intelligence [J].
Benjamin, Dean .
JOURNAL OF CHEMICAL HEALTH & SAFETY, 2009, 16 (03) :26-29
[3]   Emergency response information system interoperability: Development of chemical incident response data model [J].
Chen, Rui ;
Rao, H. Raghav ;
Sharman, Raj ;
Upadhyaya, Shambhu J. ;
Chakravarti, Nirupama .
JOURNAL OF THE ASSOCIATION FOR INFORMATION SYSTEMS, 2008, 9 (3-4) :200-230
[4]  
DHS-GDM F, 2009, GEOSP DAT MOD
[5]  
Diehl S., 2019, GEO INFORM DISASTER, P85
[6]  
Diehl S, 2006, P 2 GI4DM 25 26 SEPT, P6
[7]  
Dilo A, 2010, 54 GIST DELFT U TECH
[8]  
Dilo A., 2008, INFORM SYSTEMS CRISI, P517
[9]  
Erman-Tuysuz A, 2010, MED HOC NET 2010 9 I
[10]  
Fan Z., 2010, P GI4DM C GEOM DIS M