Abstract
Flooding has been one of the most costly disasters in terms of property damage and human casualties. The damage to the infrastructure can also be extensive, and it can endanger flood evacuation efforts. During flooding, emergency managers need to know which evacuation route is safe for their vehicles. In evacuation planning, knowing the water depths on roads and taking into account vehicle types available for rescue is highly demanded. This paper presents a Web GIS system for dynamic street network analysis in evacuation planning, which includes a flood monitoring and prediction system, a street network and flooding spatial data model, and an application for analysis of street network flooding in near-real time conditions. The results obtained in this research demonstrate that users can obtain evacuation routes in different situations, where water depths and vehicle types are considered as constraints for the street network. The use of this system enables emergency management services and the general public to make a timely and effective decision for flood evacuation planning.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ackerman C., T. (2005). ‘HEC-GeoRAS GIS Tools for support of HEC-RAS using ArcGIS.’ pp. 204.
Al-Sabhan, W., M. Mulligan, and G. A. Blackburn (2003). ‘A real-time hydrological model for flood prediction using GIS and the WWW.’ Computers, Environment and Urban Systems, 27(1), pp. 9-32.
Asama, H., Y., Hada, K., Kawabata, I., Noda, O., Takizawa, J., Meguro (2006). ‘Rescue Infrastructure for Global Information Collection’. Proceedings of the SICE-ICASE International Joint Conference, Bexco, Busan, Korea, 18-21 October, pp.3443-3448.
Danish Hydraulic Institute (DHI), (2004) ‘MIKE11 GIS reference and user manual.’ 2004.
Environmental Modeling Research Laboratory (EMRL) (1998). ‘Watershed modeling system (WMS) reference manual and tutorial’.
Environment Canada (1974). ‘Flooding events in Canada-Atlantic Provinces.’ [On-line] December 02 2006. www.ec.gc.ca/water/en/manage/floodgen/e_atlan.htm.
Fread, D. L. (1992) ‘Flow Routing.’ Chapter 10, Handbook of Hydrology, Editor E.R. Maidment, pp. 10.1-10.36.
Holz, K. P., G. Hildebrandt, and L. Weber (2006). ‘Concept for a Web-based Information System for Flood Management.’ Natural Hazards,38(1), pp. 121-140.
Kongsomsaksakul, S., Y. Chao, and C. Anthony (2005). ‘SHELTER LOCATION-ALLOCATION MODEL FOR FLOOD EVACUATION PLANNING.’ Journal of the Eastern Asia Society for Transportation Studies, 6 pp. 4237-4252.
Kothuri, R., E. Beinat, and A. Godfrind (2004). Pro Oracle Spatial. Springer-Verlag New York, New York, NY.
Liu, Y., M. Hatayama, and N. Okada (2006). ‘Development of an Adaptive Evacuation Route Algorithm under Flood Disaster.’ Annuals of Disas. Prev. Res. Inst., Kyoto Univ.,49B.
Lu, Q., Y. Huang, and S. Shekhar (2003). ‘Evacuation Planning: A Capacity Constrained Routing Approach.’ Proc. First NSF/NIJ Symp. Intelligence and Security Informatics,pp. 111–125.
MacLaren Atlantic Limited, New Brunswick. Environment New Brunswick, and MacLaren Atlantic Ltd (MAL) (1979). Canada-New Brunswick flood damage reduction program: hydrotechnical studies of the Saint John River from McKinley Ferry to Lower Jemseg.Fredericton.
Mioc, D., L. Gengsheng, F. Anton, B. Nickerson (2007). Decision Support for Flood Event Prediction and Monitoring, IGARSS 2007, Barcelona, July 23-27, 2007, 4 pages, published on CD.
Murray, C. (2003). ‘Oracle Spatial Topology and Network Data Models 10g Release 1 (10.1).’
Murray,C. (2004). ‘Oracle Application Server MapViewer User’s Guide 10g Release 2 (10.1.2).’ Oracle Corporation. [On-line] December 12 2006. http://download-east.oracle.com/docs/cd/B14099_01/web.1012/b14036.pdf
Neis, P., A. Schilling, and A. Zipf (2007). ‘3D Emergency Route Services based on OpenLS Specifications.’ Proceedings of Joint CIG/ISPRS Conference on Geomatics for Disaster and Risk Management, Toronto, May 23-25, 2007.
Noman, N.S., E.J. Nelson, and A.K. Zundel (2003). ‘Improved Process for Floodplain Delineation from Digital Terrain Models.’ Journal of Water Resources Planning and Management,129(5), pp. 427-436.
Quan,L. J., and J. Sharma (2005). ‘Oracle Application Server 10$g$ (10.1.2) MapViewer.’ [On-line] November 10 2006. http://www.oracle.com/technology/ products/mapviewer/pdf/mapviewer10g_technical_white_paper.pdf
Schwarzenegger, A., and R. R. Renteria (1997). ‘Legal Guidelines for Flood Evacuation.’ Governor’s Office of Emergency Services. California. [On-line] June 08 2007. http://www.oes.ca.gov/Operational/OESHome.nsf/PDF/ Legal%20Guidelines%20for%20Flood%20Evacuation/$file/Feat2.pdf
Simonovic, S. P., and S. Ahmad (2005). ‘Computer-based Model for Flood Evacuation Emergency Planning.’ Natural Hazards, 34(1), pp. 25-51.
Zipf, A., and R. Leiner (2004). ‘Mobile Internet GIS based Flood Warning and Information Systems.’ 2nd Symposium on Location Based Services and TeleCartography, Vienna, Austria (January 2004).
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Mioc, D., Anton, F., Liang, G. (2008). On-line Street Network Analysis for Flood Evacuation Planning. In: Nayak, S., Zlatanova, S. (eds) Remote Sensing and GIS Technologies for Monitoring and Prediction of Disasters. Environmental Science and Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79259-8_13
Download citation
DOI: https://doi.org/10.1007/978-3-540-79259-8_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-79258-1
Online ISBN: 978-3-540-79259-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)