Natural and Man-Made Flood Risk Mapping and Warning for Socially Vulnerable Populations

Natural and Man-Made Flood Risk Mapping and Warning for Socially Vulnerable Populations

D. Mioc J.N. Nkhwanana K.K. Moreiri B. Nickerson M. Santos E. Mcgillivray A. Morton F. Anton A. Ahmad M. Mezouaghi L. Mofford P. Tang 

National Space Institute, Technical University of Denmark, Denmark

Department of Geodesy and Geomatics Engineering, University of New Brunswick, Canada

Faculty of Computer Science, University of New Brunswick, Canada

New Brunswick Emergency Measures Organization, Canada

New Brunswick Department of Environment, Canada

Page: 
183-202
|
DOI: 
https://doi.org/10.2495/SAFE-V5-N3-183-202
Received: 
N/A
| |
Accepted: 
N/A
| | Citation

OPEN ACCESS

Abstract: 

Populations are usually unprepared for natural disasters (even in regions of high risk), and emergency planners are faced with the difficult task of evacuating these unprepared people quickly. Recent advances in Geographic Information Systems (GIS) technology allow for improved determination and mapping of risks for different natural and man-made disasters. Large amounts of data can be acquired, processed, analysed and displayed on digital maps, thus allowing the decision makers to assess the situation rapidly and take appropriate actions. Advanced hydrological tools for computation and modelling of natural hazards (such as floods) can be combined with GIS tools that have the capability of decision support and advanced visualization. This combination can be used to produce models that will represent the risks of natural and man-made disasters in the form of risk maps. Furthermore, these processes can be automated, which can allow for near real-time access to the risk maps. This can greatly help decision makers with emergency and mitigation measures, however the challenge is to design tools that meet the specific needs of emergency managers charged with the protection of a diverse and under-prepared populace. The research aimed to demonstrate the potential of GIS mapping tools with reference to two real case studies in Fredericton, New Brunswick, Canada. The first one relates to flood risk mapping needed for the evacuation of vulnerable populations, while in the second one, the mapping of a catastrophic flood scenario due to a dam break is presented.

The results of both case studies has helped to identify that the evacuation of socially vulnerable sections of the population require more resources and emergency planning than the evacuation of the rest of population. The socially vulnerable population needs to be registered before the disaster occurs and their special needs need to be documented. The response time needed to evacuate people, especially those who are socially vulnerable is very important in saving lives. There exist a number of important factors when planning for an evacuation, e.g. the number of people to be evacuated, time available for the evacuations, the distance to travel and also the available routes for evacuation. The provisions of medicaments, special food and any additional resources have to be planned and prepared in advance. Here, the approach to identify, map and assist the evacuation of socially vulnerable population during flooding in Fredericton while taking care of their special needs is presented. The main result of this research is a web-based GIS system that provides appropriate information to the relevant authorities and general public in a timely manner and easy to understand.

Keywords: 

early warning system, evacuation, flooding, risk maps, vulnerable population.

  References

[1] Mioc, D., Moreiri, K.K., Nkhwanana, J.N., Anton, F., Nikerson, B., McGillivray, E., Morton, A. & Tang, P., On-line early warning system for evacuation of socially vulnerable population during flooding. Flood Recovery, Innovation and Response III, Ed. D. Proverbs, S. Mambretti, C.A. Brebbia & D. de Wrachien, WIT Transactions on Ecology and the Environment, Vol. 159 (ISBN: 978-1-84564-588-5), Ashurst, Southampton, UK, pp. 67–78, 2012. doi: http://dx.doi.org/10.2495/friar120061

[2] Konecny, M., Early warning and crisis management cartographic and geographic infor-mation research agenda. Proc. of the 4th International Conference on Cartography and GIS, Vol. 2., June 18–22, Albena, Bulgaria, pp. 7–16, 2012.

[3] Spear MacDonald and Associates Limited, Cumming – Cockburn and Associates, Canada, New Brunswick Program for a Hydrotechnical Study of the Walker Brook Flood Plain, Summary Report, 1983, revised in 1985. 

[4] Mioc, D., Anton, F., Nickerson, B., Santos, M., Adda, P., Tienaah, T., Ahmad, A., Mezouaghi, M., MacGillivray, E., Morton, A. & Tang, P., Flood progression modelling 

and impact analysis, Efficient Decision Support Systems – Practice and Challenges in Multidisciplinary Domains, C. Jao (ed.), ISBN: 978-953-307-441-2, Vukovar, Croatia, pp. 227–246, InTech, 2011. doi: http://dx.doi.org/10.5772/18398

[5] Zipf, A. & Leiner, R., Mobile internet GIS based flood warning and information systems, 2nd Symposium on Location Based Services and TeleCartography, Vienna, Austria, 2004.

[6] Shea, G.Y.K., A Web-Based Approach to the Integration of Diverse Data Structures for GIS, School of Surveying and Spatial Information Systems, Sydney, NSW, 43 pp, 2001.

[7] Hansjurgens, B., Megacities, risk and social vulnerability, Helmholtz Association, Retrieved November 13, 2008, available at http://www.ehs.unu.edu/file.php?id=334, 2007.

[8] Department of the Environment, Water Resources Branch, Fredericton, Planning Region Water Resources Review, Report I – 8001, Environment Canada, Ottawa, Ontario, 1980.

[9] Andrews, J. (ed.), Flooding, Canada Water Book, Canada Communication Group, 1993. 

[10] Jones, J.L., Mapping a Flood... Before It Happens. U.S. Geological Survey Fact Sheet 2004-3060, available at http://pubs.usgs.gov/fs/2004/3060/pdf/fs20043060.pdf, (accessed 5 June 2009).

[11] Marks, K. & Bates, P., Integration of high-resolution topographic data with floodplain flow models. Hydrological Processes, 14(11–12), pp. 2109–2122, 2000. doi: http:// dx.doi.org/10.1002/1099-1085(20000815/30)14:11/12<2109::aid-hyp58>3.3.co;2-t

[12] Noman, N.S.; Nelson, E.J. & Zundel, A.K., Improved process for floodplain delineation from digital terrain models. Journal of Water Resources Planning and 

Management, 129(5), pp. 427–436, 2003. doi: http://dx.doi.org/10.1061/(asce)07339496(2003)129:5(427)

[13] Environmental Modeling Research Laboratory (EMRL), Watershed Modeling System (WMS) Reference Manual and Tutorial, Environmental Modeling Research Laboratory (EMRL), Aquaveo, Provo, Utah, United States, 1998.

[14] Aquaveo, SMS Flood & Storm Surge Modeling Solutions, available at: http://www. aquaveo.com/products, Online (accessed 2013).

[15] Danish Hydraulic Institute (DHI), MIKE11 GIS Reference and User Manual, DOH, 2004.

[16] Ackerman, C.T., HEC-GeoRAS; GIS Tools for support of HEC-RAS Using ArcGIS, Danish Hydraulic Institute: Hørsholm, Danmark. p. 204, 2005.

[17] Mioc, D., Moreiri, K.K., Nkhwanana, J.N., Nikerson, B., McGillivray, E., Morton, A. & Tang, P., On-line early warning system for evacuation of socially vulnerable population during flooding, Flood Recovery, Innovation and Response III (ISBN: 978-1-84564588-5), WIT Press, Vol. 159, Ashurst, Southampton, UK, p. 284 2012. doi: http:// dx.doi.org/10.2495/friar120061

[18] Mioc, D., Nickerson, B., Anton, F, Fraser, D., McGillivray, E., Morton, A., Tang, P., Arp J. P. & Liang G., Web-GIS application for flood prediction and monitoring, International Conference on Flood Recovery Innovation and Response, London, July 2008, 6 pp, available at library.witpress.com, 2008. doi: http://dx.doi.org/10.2495/friar080151

[19] Butts, M.B. & Khatibi, R., Workpackage 7: Operational End-user Requirements – General Functionality deliverable 7.1-Part 1, (FLOODRELIEF project), available at http://projects.dhi.dk/floodrelief 2003 (accessed 2003).

[20] Moreri, K., Mioc, D., Anton, F., Nickerson, B., McGillivray, E., Morton, A., Fraser, D. & Tang, P., Early warning and mapping for flood disasters, Joint ISCRAM-CHINA and Gi4DM Conference, Harbin, 6 pp, 2008.

[21] City of Fredericton, Internal documentation, available at http://www.fredericton.ca/en/ publicsafety/2008April1FloodWatch.asp (retrieved 2 December 2008).

[22] Canadian Broadcasting Corporation, CBC News, available at http://www.cbc.ca/canada/ new-brunswick/story/2008/04/30/nb-flood.html, 2008 (retrieved 2 December 2008).

[23] Nkhwanana Nyaladzani, J. & Mioc, D., Early warning system for evacuation of socially vulnerable population during flooding. Joint Symposium Cartography and Geoinformatics in Early Warning and Crises Management, Towards Better Solutions, Prague, 6 pp, January 19–22, 2009.

[24] Watson, C., Using GIS Data for Emergency Preparedness and Response, available at www.geoplace.com, Online (retrieved November 2008).

[25] River watch, available at http://geonb.snb.ca/riverwatch, Online (retrieved 2013).

[26] New Brunswick Department of Environment, River watch, Traffic Advisories/Flooding, available at http://www1.gnb.ca/cnb/transportation/flooding-e, Online (retrieved 2013).

[27] Cutter, S.L., Boruff, B.J. & Shirley, W.N., Social vulnerability to environmental hazards. Social Science Quarterly, 84(2), pp. 242–261, 2003. doi: http://dx.doi. org/10.1111/1540-6237.8402002

[28] Report says Mactaquac Power Station in trouble, Posted on December 11, 2000, available at http://www.cbc.ca/news/canada/report-says-mactaquac-power-station-introuble-1.237718, (retrieved 1 October 2010).

[29] Construction of the Mactaquac Dam, Fredericton Region Museum, Posted on July 17, 2012, available at http://frederictonregionmuseum.wordpress.com/2012/07/17/construction-of-the-mactaquac-dam, Online (retreived 2013).

[30] Bourgoin, S., Disregarded sentiments: discovering the voices of opposition to the Mactaquac Dam, A Thesis Submitted to Saint Mary’s University, Halifax, Nova Scotia, in Partial Fulfillment of the Requirements for the Degree of Master’s of Arts in History, 129 pp, 2013.

[31] McDonald, J.E. & Curtis, N.F., Repair and rehabilitation of dams: case studies, US Army Corps of Engineers, Engineer Research and Development Center (Repair, Evaluation, Maintenance, and Rehabilitation Research Program), Technical Report REMR-CS-63, 263 pp, September 1999.

[32] Kidd, S.D., Curry, R.A. & Munkittrick, K.R., The Saint John River: A State of the Environment Report, Canadian River Institute, University of New Brunswick: Fredericton, Canada, 183 pp., July 2011. 

[33] Charlwood, R., Scrivener, K. & Sims, I., Recent developments in the management of chemical expansion of concrete in dams and hydro projects – Part 1: Existing structures, Hydro 2012, Bilbao, Spain, 17 pp., 2012. 

[34] Lunn, R., Google 3D buildings Fredericton (contribution to the Google 3D cities mapping), available at http://www.youtube.com/watch?v=2WqqYFU7y2g, 2012.

[35] Tang, P., Price, R. & Howe, M., The Saint John River Forecast System – an Integrated Approach, 56th Annual Eastern Snow Conference, Fredericton, NB, Canada, available at http://www.easternsnow.org/meetings/1999/final_program.html, June 2–4, 1999.

[36] Mioc, D., Nickerson, B., Anton, F., Fraser, D., McGillivray, E., Morton, A., Tang, P., Arp, J.P. & Liang, G., Web-GIS application for flood prediction and monitoring.  International Conference on Flood Recovery Innovation and Response, London, WIT Transactions on Ecology and the Environment (ISBN: 978-1-84564-132-0), WIT Press, 2008, pp. 145–154. doi: http://dx.doi.org/10.2495/friar080151

[37] Mioc, D., Anton, F., Ahmad, A., Moreiri, K.K., Nikerson, B., McGillivray, E., Mezouaghi, M., Mofford, L. & Tang, P., Risk maps for evaluation of natural and man-made hazards, risk analysis VIII, C.A. Brebbia (ed.), Wessex Institute of Technology: UK, ISBN: 9781-84564-620-2, eISBN: 978-1-84564-621-9, pp. 552, WIT Transactions on Information and Communication Technologies, 44, 2012. doi: http://dx.doi.org/10.2495/risk120131