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Damage Assessment from Storm Surge to Coastal Cities: Lessons from the Miami Area

  • Elisabetta GenoveseEmail author
  • Stéphane Hallegatte
  • Patrice Dumas
Chapter
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC, volume 1)

Abstract

Coastal cities are growing at a very rapid pace, both in population and in terms of assets; therefore, flood risk is likely to increase substantially in these areas in the absence of specific protections. In addition, great uncertainty surrounds the future evolution of hurricane intensity and sea level rise. The area of Miami represents a clear hotspot of human and economic coastal flood exposure: there are more than 5 million inhabitants in the Miami metropolitan area and the population is growing. It is also a low-lying city with most of the population living below an elevation of 10m and is located in a region where tropical cyclones hit frequently. The present study is focused on the two contiguous counties of Miami, Dade and Broward. In this analysis, we consider the impact of different storm surges predicted by the computerized model SLOSH1 and investigate flood risks with current sea level, considering different hurricane parameters (storm category and direction, wind speed, and tide level). For each impact, we apply a damage function and determine if the considered storm surges potentially lead to asset loss, considering both properties and their contents.The results show that, in absence of protections, losses will be very high for large storm surges reaching up to tens of billions USD. In the second part of the analysis, we demonstrate how the economic impact changes when protections are built up, considering different dams’ heights. We conclude that raising flood defences would be beneficial, since the consequences of a storm surge could be enormous.

Keywords

Flood Risk Storm Surge Damage Assessment Damage Function Coastal City 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Emanuel K.A. (2008). "Hurricanes and Global Warming: Results from Downscaling IPCC AR4 Simulations", Bulletin of the American Meteorological Society.Google Scholar
  2. Genovese E. (2006). A methodological approach to land use-based flood damage assessment in urban areas: Prague case study, Technical EUR Reports, EUR 22497 EN.Google Scholar
  3. Green C. (2003). Handbook of Water Economics: Principles and Practice, John Wiley and sons, Chicester, 443 pp.Google Scholar
  4. Hallegatte, S., J.-C. Hourcade, and P. Dumas (2007). Why economic dynamics matter in assessing climate change damages: illustration on extreme events, Ecological Economics, 62, 330–340.CrossRefGoogle Scholar
  5. Hallegatte S., N. Patmore, O. Mestre, P. Dumas, J. Corfee Morlot, C. Herweijer, R. Muir Wood (2008). Assessing Climate Change Impacts, Sea Level Rise and Storm Surge Risk in Port Cities: A Case Study on Copenhagen, OECD Environment Working Paper No. 3, 2008 (2).Google Scholar
  6. Hallegatte S. and V. Przyluski (2010). The economics of natural disaster, CESifo Forum 2/2010, pp. 14—24.Google Scholar
  7. Harrington J., and Walton T. L. (2008). Climate change in coastal area in Florida: sea level rise estimation and economic analysis to year 2080, Florida State University report.Google Scholar
  8. Heberger M., H. Cooley, P. Herrera, P. H. Gleick, E. Moore (2009). The impacts of sea-level rise on the California coast, California Climate Change Center, Pacific Institute, August 2009.Google Scholar
  9. Herweijer C, Nicholls R. J., Hanson S, Patmore N, Hallegatte S, Corfee- Morlot J, Chateau J, Muir-Wood R (2008). "How do our coastal cities fare under rising flood risk?", Catastrophe Risk Management, April, 12-13.Google Scholar
  10. ICOLD (1992). Cost Impact on Future Dam Design - Analysis and Proposals, ICOLD publications, No. 83.Google Scholar
  11. ICLEI (2009). Perspectives on water and climate change adaptation. Local government perspective on adapting water management to climate change. http://worldwatercouncil.org/fileadmin/wwc/Library/Publications_and _reports/Climate_Change/PersPap_07._Local_Government.pdf
  12. IPCC (2007). Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon S, Qin D., Manning M, Chen Z, Marquis M, Averyt K B, Tignor M, Miller H L (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 996 pp.Google Scholar
  13. Kron W. (2003). High water and floods: resist them or accept them? In: Schadenspiegel (Losses and loss prevention), 46th year. No.3. 26-34. Munich Re Group, Munich.Google Scholar
  14. Landsea C. W. (2005). "Hurricanes and global warming". Nature, 436, 686–688 (2005).Google Scholar
  15. Lugeri N., E. Genovese, C. Lavalle, A. De Roo (2006). Flood risk in Europe: analysis of exposure in 13 Countries, Technical EUR Reports, EUR 22525 EN.Google Scholar
  16. Lugeri N., Kundzewicz Z.W., Genovese E., Hochrainer S., Radziejewski M. (2010). River flood risk and adaptation in Europe: assessment of the present status. Mitigation and Adaptation Strategies for Global Change International Journal, Volume 15, Number 7, 621-639.CrossRefGoogle Scholar
  17. Nicholls, R.J., S. Hanson, C. Herweijer, N. Patmore, S. Hallegatte, J. Corfee-Google Scholar
  18. Morlot, J. Chateau, R. Muir-Wood (2007). Screening Study: Ranking Port Cities with High Exposure and Vulnerability to Climate Extremes, OECD Working Paper, at http://www.oecd.org/document/56/0,3343,en_2649_201185_39718712_1_1_1_1,00.html
  19. Pfeffer, W. T., Harper, J. T., O’Neel, S., (2008). Kinematic constraints on glacier contributions to 21st century sea-level rise, Science, 321(5894): 1340-1343CrossRefGoogle Scholar
  20. Rahmstorf (2007). Sea-Level Rise A Semi-Empirical Approach to Projecting Future, Science 315, 368–370, DOI: 10.1126/ science.1135456.CrossRefGoogle Scholar
  21. Smith, D. I. (1994). Flood damage estimation – A review of urban stagedamage curves and loss functions, Water SA, 20(3), 231–238, 1994.Google Scholar
  22. United States Army Corps of Engineers (1984). Shore Protection Manual, Volumes 1&2. Waterways Experiment Station, Coastal Engineering Research Center, Vicksburg, Mississippi.Google Scholar
  23. Van der Sande C.J., de Jong S.M., de Roo A.P.J. (2003). A segmentation and classification approach of IKONOS-2 imagery for land cover mapping to assist flood risk and flood damage assessment, International Journal of Applied Earth Observation and Geoinformation, pp. 217–229.Google Scholar
  24. Webster, P.J., G.J. Holland, J.A. Curry, H.-R. Chang (2005). “Changes in Tropical Cyclone Number, Duration, and Intensity in a Warming Environment”, Science, 309, 1844,1846, 16 September 2005.Google Scholar
  25. White G.F. (1945). “Human Adjustments to Floods: A Geographical approachGoogle Scholar
  26. to the Flood Problem in the United States”, Doctoral Dissertation and Research paper no. 29, Department of Geography, University of Chicago.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Elisabetta Genovese
    • 1
    Email author
  • Stéphane Hallegatte
    • 1
    • 2
  • Patrice Dumas
    • 1
    • 3
  1. 1.Centre International de Recherche sur l’Environnement et le Développement(CIRED)ParisFrance
  2. 2.Ecole Nationale de la Météorologie, Meteo FranceParisFrance
  3. 3.Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD)ParisFrance

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