An object-relational prototype of GIS-based disaster database

Zhou, S, Liu, G, Fu, E and Zhang, K 2009, 'An object-relational prototype of GIS-based disaster database', Procedia Earth and Planetary Science, vol. 1, no. 1, pp. 1060-1066.

Document type: Journal Article
Collection: Journal Articles

Title An object-relational prototype of GIS-based disaster database
Author(s) Zhou, S
Liu, G
Fu, E
Zhang, K
Year 2009
Journal name Procedia Earth and Planetary Science
Volume number 1
Issue number 1
Start page 1060
End page 1066
Total pages 7
Publisher Elsevier B.V.
Abstract Global natural disasters have caused billions of dollars of property and infrastructure damages, unexpected disruption to socioeconomic activities and tragic loss of human lives each year. It is of paramount importance to collect, maintain and manage detailed and accurate records of disastrous events for an effective risk assessment and mitigation of disaster impacts. Considerable efforts have been directed towards the establishment of databases on historic disasters but many disaster databases built are primarily a set of separate lists of historical disaster events. This paper presents a recent study that investigates effective and efficient GIS-based approaches to the representation, organisation and access of disaster information. This includes logical data models for representing disastrous events, the object-relational approach to database implementation, and internet-based user-interfaces that supports multi-mode (including map-based) database queries and flexible facilities for report generation. Key aspects of a disaster event, including the spatial-temporal dimensions of the hazard and its impacts, are considered in the development of data models and database implementation in order to support user-friendly querying and reporting operations.
Subject Geodesy
Surveying (incl. Hydrographic Surveying)
Navigation and Position Fixing
Keyword(s) disaster event
object-relational data model
geographical information system
impact and risk assessment
DOI - identifier 10.1016/j.proeps.2009.09.163
Copyright notice Copyright © 2010 Elsevier B.V. All rights reserved
ISSN 1878-5220
Version Filter Type
Citation counts: Scopus Citation Count Cited 8 times in Scopus Article | Citations
Altmetric details:
Access Statistics: 240 Abstract Views  -  Detailed Statistics
Created: Wed, 17 Nov 2010, 16:09:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us