Climatic Change

, Volume 132, Issue 4, pp 741–749 | Cite as

Future property damage from flooding: sensitivities to economy and climate change

  • Jing Liu
  • Thomas W. Hertel
  • Noah S. Diffenbaugh
  • Michael S. Delgado
  • Moetasim Ashfaq
Letter

Abstract

Recent trends in the frequency and intensity of extreme weather events have raised the concern that climate change could increase flooding risks and property damage. However, a major challenge in attributing and projecting changes in disaster risk is that damage is influenced not only by the physical climate hazard, but also by non-climatic factors that shape exposure and vulnerability. Recent assessments of integrated disaster risk have been hampered by the paucity of literature analyzing local-scale interactions between hazard, exposure and vulnerability in the historical record. Here we develop an integrated empirical analysis of historical flood damage that emphasizes spatial and temporal heterogeneity in flood hazard, economic exposure and social vulnerability. Using the Midwestern United States as a testbed, we show that annual property damage from flooding is projected to increase by 13 to 17.4 % over the next two decades. At the state level, over half of the increase is driven by projected growth in housing units. However, at the county level, the dominant factor causing future damage varies, emphasizing the value of a fully integrated, spatially and temporally resolved approach to assessing flooding risk and control strategies.

Supplementary material

10584_2015_1478_MOESM1_ESM.pdf (404 kb)
ESM 1(PDF 403 kb)

References

  1. Ashfaq M, Bowling LC, Cherkauer K, Pal JS, Diffenbaugh NS (2010) Influence of climate model biases and daily-scale temperature and precipitation events on hydrological impacts assessment: a case study of the United States. J Geophys Res-Atmos 115(D14), D14116. doi:10.1029/2009JD012965 CrossRefGoogle Scholar
  2. Ashfaq M, Ghosh S, Kao S-C, Bowling LC, Mote P, Touma D, Rauscher SA, Diffenbaugh NS (2013) Near-term acceleration of hydroclimatic change in the Western U.S. J Geophys Res-Atmos 118(19):10676–10693. doi:10.1002/jgrd.50816 CrossRefGoogle Scholar
  3. Bouwer LM (2013) Projections of future extreme weather losses under changes in climate and exposure. Risk Anal 33(5):915–930. doi:10.1111/j.1539-6924.2012.01880.x CrossRefGoogle Scholar
  4. Changnon SA, Pielke RA, Changnon D, Sylves RT, Pulwarty R (2000) Human factors explain the increased losses from weather and climate extremes. Bull Am Meteorol Soc 81(3):437–442CrossRefGoogle Scholar
  5. Cramer W, Yohe GW, Auffhammer M, Huggel C, Molau U, Dias MAFS, Leemans R (2014) Detection and attribution of observed impacts. In: Climate climate change 2014: impacts, adaptation, and vulnerability. Cambridge University Press. http://library.wur.nl/WebQuery/wurpubs/483086.
  6. Diffenbaugh NS, Pal JS, Trapp RJ, Giorgi F (2005) Fine-scale processes regulate the response of extreme events to global climate change. Proc Natl Acad Sci U S A 102(44):15774–15778. doi:10.1073/pnas.0506042102 CrossRefGoogle Scholar
  7. Diffenbaugh NS, Swain DL, Touma D (2015) Anthropogenic warming has increased drought risk in California. Proc Natl Acad Sci 112(13):3931–3936. doi:10.1073/pnas.1422385112 CrossRefGoogle Scholar
  8. Giorgi F, Im E-S, Coppola E, Diffenbaugh NS, Gao XJ, Mariotti L, Shi Y (2011) Higher hydroclimatic intensity with global warming. J Clim 24(20):5309–5324. doi:10.1175/2011JCLI3979.1 CrossRefGoogle Scholar
  9. Hazards & Vulnerability Research Institute (2013) The Spatial hazard events and losses database for the United States, version 12.0 [online database]. University of South Carolina, Columbia. Available from http://www.sheldus.org. Accessed December 2013
  10. Huggel C, Stone D, Auffhammer M, Hansen G (2013) Loss and damage attribution. Nat Clim Chang 3(8):694–696. doi:10.1038/nclimate1961 CrossRefGoogle Scholar
  11. IPCC (2013) Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. In: Long-term climate change: projections, commitments and irreversibility. Cambridge Univ. Press, CambridgeGoogle Scholar
  12. IPCC (2014) Climate change 2014: impacts, adaptation, and vulnerability. Part A: global and sectoral aspects. Contribution of working group II to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, 1132 ppGoogle Scholar
  13. Jongman B, Ward PJ, Aerts JCJH (2012) Global exposure to river and coastal flooding: long term trends and changes. Glob Environ Chang 22(4):823–835. doi:10.1016/j.gloenvcha.2012.07.004 CrossRefGoogle Scholar
  14. Knutson TR, McBride JL, Chan J, Emanuel K, Holland G, Landsea C, Held I, Kossin JP, Srivastava AK, Sugi M (2010) Tropical cyclones and climate change. Nat Geosci 3(3):157–163. doi:10.1038/ngeo779 CrossRefGoogle Scholar
  15. Mallakpour I, Villarini G (2015) The changing nature of flooding across the Central United States. Nat Clim Chang 5(3):250–254. doi:10.1038/nclimate2516 CrossRefGoogle Scholar
  16. Mechler R, Bouwer LM (2014) Understanding trends and projections of disaster losses and climate change: is vulnerability the missing link? Clim Chang 1–13. doi:10.1007/s10584-014-1141-0
  17. Mendelsohn R, Emanuel K, Chonabayashi S, Bakkensen L (2012) The impact of climate change on global tropical cyclone damage. Nat Clim Chang 2(3):205–209. doi:10.1038/nclimate1357 CrossRefGoogle Scholar
  18. Peterson TC, Heim RR, Hirsch R, Kaiser DP, Brooks H, Diffenbaugh NS, Dole RM et al (2013) Monitoring and understanding changes in heat waves, cold waves, floods, and droughts in the United States: state of knowledge. Bull Am Meteorol Soc 94(6):821–834. doi:10.1175/BAMS-D-12-00066.1 CrossRefGoogle Scholar
  19. Pielke RA (2007) Future economic damage from tropical cyclones: sensitivities to societal and climate changes. Philos Trans R Soc A Math Phys Eng Sci 365(1860):2717–2729. doi:10.1098/rsta.2007.2086 CrossRefGoogle Scholar
  20. Romero-Lankao P, Smith JB, Davidson DJ, Diffenbaugh NS, Kinney PL, Kirshen P, Kovacs P, Villers-Ruiz L (2014) Chapter 26: North America. In: Climate change 2014: impacts, adaptation, and vulnerability. Part B: regional aspects. Contribution of working group II to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 1439–1498Google Scholar
  21. Touma D, Ashfaq M, Nayak MA, Kao S-C, Diffenbaugh NS (2015) A multi-model and multi-index evaluation of drought characteristics in the 21st century. J Hydrol. doi:10.1016/j.jhydrol.2014.12.011 Google Scholar
  22. Wooldridge JM (2010) Econometric analysis of cross section and panel data. 2nd edition. MIT PressGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Jing Liu
    • 1
  • Thomas W. Hertel
    • 1
  • Noah S. Diffenbaugh
    • 2
  • Michael S. Delgado
    • 1
  • Moetasim Ashfaq
    • 3
  1. 1.Department of Agricultural EconomicsPurdue UniversityWest LafayetteUSA
  2. 2.Department of Earth System Science and Woods Institute for the EnvironmentStanford UniversityStanfordUSA
  3. 3.Oak Ridge National LaboratoryOak RidgeUSA

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