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Natural Hazards

, Volume 91, Issue 3, pp 983–1002 | Cite as

Damaging flood severity assessment in Northern Portugal over more than 150 years (1865–2016)

  • Mónica Santos
  • Marcelo Fragoso
  • João A. Santos
Original Paper

Abstract

Floods are a major natural hazard, with vast implications over a wide range of socio-economic activities. A harmonized post-flood classification is critical for a better understanding of this hazard, by providing homogeneous flood catalogues for future research on triggering mechanisms. We apply a flood severity index (FSI) to damaging floods in Northern Portugal over a 152-year period (1865–2016) and identify the most critical areas to flood occurrences. The index is a damage-based post-event assessment tool, which includes five categories ranging from minor flooding (1) to catastrophic flooding (5). FSI is applied to a historical damaging flood database with 2318 occurrences. In Northern Portugal, serious floods (3) are the most frequent typology, while catastrophic floods are typically river floods occurring in the Douro basin. Overall, damaging flood occurrences are favoured by the positive phase of the East Atlantic pattern and by the negative phase of the North Atlantic Oscillation. Furthermore, the north-western areas reveal higher concentrations of damaging flood occurrences, mainly due to higher population density, higher precipitation values and more flood plain areas. In particular, 48% of all occurrences are concentrated in the Porto Metropolitan Area, mainly the Porto city centre and nearby riverside areas of the Douro River. High-population density and heavily urbanized areas lead to greater exposure to flood risk, whereas the most peripheral municipalities, with large agricultural/forested areas, show much lower numbers of damaging floods. FSI is tool to communicate the magnitude of the flood risk and is, therefore, of foremost relevance to civil protection and risk management.

Keywords

Flood severity index Damaging flood Flood database Documentary sources Northern Portugal Porto Metropolitan Area 

Notes

Acknowledgements

This work was supported by the R&D Project INTERACT—Integrative Research in Environment, Agro-Chain and Technology, research line BEST, NORTE-01-0145-FEDER-000017, co-funded by FEDER (Fundo Europeu de Desenvolvimento Regional) through NORTE 2020 (Programa Operacional Regional do Norte 2014/2020) and by the project FORLAND—Disastrous floods and landslides in Portugal: driving forces and applications for land use planning (PTDC/ATP-GEO/1660/2014). NCEP Reanalysis data were provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, from their website at http://www.esrl.noaa.gov/psd/.

Supplementary material

11069_2017_3166_MOESM1_ESM.docx (1.7 mb)
Supplementary material 1 (DOCX 1786 kb)

References

  1. Aceto L, Caloiero T, Pasqua AA, Petrucci O (2016) Analysis of damaging hydrogeological events in a Mediterranean region (Calabria). J Hydrol 541:510–522.  https://doi.org/10.1016/j.jhydrol.2015.12.041 CrossRefGoogle Scholar
  2. Andrade C, Santos JA, Pinto JG, Corte-Real J (2011) Large-scale atmospheric dynamics of the wet winter 2009/2010 and its impact on hydrology in Portugal. Clim Res 46:29–41.  https://doi.org/10.3354/cr00945 CrossRefGoogle Scholar
  3. Andrade C, Leite SM, Santos JA (2012) Temperature extremes in Europe: overview of their driving atmospheric patterns. Nat Hazards Earth Syst Sci 12:1671–1691.  https://doi.org/10.5194/nhess-12-1671-2012 CrossRefGoogle Scholar
  4. Barnston AG, Livezey RE (1987) Classification, seasonality and persistence of low-frequency atmospheric circulation patterns. Mon Weather Rev 115:1083–1126.  https://doi.org/10.1175/1520-0493 CrossRefGoogle Scholar
  5. Barriendos M, Ruiz-Bellet JL, Tuset J, Mazón J, Balasch JC, Pino D, Ayala JL (2014) The “Prediflood” database of historical floods in Catalonia (NE Iberian Peninsula) AD 1035–2013, and its potential applications in flood analysis. Hydrol Earth Syst Sci 18:4807–4823.  https://doi.org/10.5194/hess-18-4807-2014 CrossRefGoogle Scholar
  6. Bathurst JC et al (2011) Forest impact on floods due to extreme rainfall and snowmelt in four Latin American environments 1: field data analysis. J Hydrol 400:281–291.  https://doi.org/10.1016/j.jhydrol.2010.11.044 CrossRefGoogle Scholar
  7. Bell HM, Tobin GA (2007) Efficient and effective? The 100-year flood in the communication and perception of flood risk. Environ Hazards 7:302–311.  https://doi.org/10.1016/j.envhaz.2007.08.004 CrossRefGoogle Scholar
  8. Benito G, Thorndycraft VR (2005) Palaeoflood hydrology and its role in applied hydrological sciences. J Hydrol 313(1):3–15.  https://doi.org/10.1016/j.jhydrol.2005.02.002 CrossRefGoogle Scholar
  9. Boudou M, Lang M, Vinet F, Cœur D (2016) Comparative hazard analysis of processes leading to remarkable flash floods (France, 1930–1999). J Hydrol 541, Part A:533–552.  https://doi.org/10.1016/j.jhydrol.2016.05.032 CrossRefGoogle Scholar
  10. Brázdil R, Kundzewicz ZW, Benito G (2006) Historical hydrology for studying flood risk in Europe. Hydrol Sci J 51:739–764.  https://doi.org/10.1623/hysj.51.5.739 CrossRefGoogle Scholar
  11. Chen WY, Van den Dool H (2003) Sensitivity of teleconnection patterns to the sign of their primary action center. Mon Weather Rev 131:2885–2899.  https://doi.org/10.1175/1520-0493 CrossRefGoogle Scholar
  12. Comas-Bru L, McDermott F (2014) Impacts of the EA and SCA patterns on the European twentieth century NAO–winter climate relationship. Q J R Meteorol Soc 140:354–363.  https://doi.org/10.1002/qj.2158 CrossRefGoogle Scholar
  13. Comas-Bru L, McDermott F, Werner M (2016) The effect of the East Atlantic pattern on the precipitation δ18O-NAO relationship in Europe. Clim Dyn 47:2059–2069.  https://doi.org/10.1007/s00382-015-2950-1 CrossRefGoogle Scholar
  14. Compo GP et al (2011) The twentieth century reanalysis project. Q J R Meteorol Soc 137:1–28.  https://doi.org/10.1002/qj.776 CrossRefGoogle Scholar
  15. Costa AC, Santos JA, Pinto JG (2012) Climate change scenarios for precipitation extremes in Portugal. Theor Appl Climatol 108:217–234.  https://doi.org/10.1007/s00704-011-0528-3 CrossRefGoogle Scholar
  16. Diakakis M (2014) An inventory of flood events in Athens, Greece, during the last 130 years. Seasonality and spatial distribution. J Flood Risk Manag 7:332–343.  https://doi.org/10.1111/jfr3.12053 CrossRefGoogle Scholar
  17. Feyen L, Dankers R, Bódis K, Salamon P, Barredo J (2012) Fluvial flood risk in Europe in present and future climates. Clim Change 112:47–62.  https://doi.org/10.1007/s10584-011-0339-7 CrossRefGoogle Scholar
  18. Flörke M et al (2011) Final report for the project climate adaptation–modelling water scenarios and sectoral impacts. CESR—Center for Environmental Systems Research, KasselGoogle Scholar
  19. Fragoso M, Trigo RM, Pinto JG, Lopes S, Lopes A, Ulbrich S, Magro C (2012) The 20 February 2010 Madeira flash-floods: synoptic analysis and extreme rainfall assessment. Nat Hazards Earth Syst Sci 12:715–730.  https://doi.org/10.5194/nhess-12-715-2012 CrossRefGoogle Scholar
  20. Garrote J, Alvarenga FM, Díez-Herrero A (2016) Quantification of flash flood economic risk using ultra-detailed stage–damage functions and 2-D hydraulic models. J Hydrol 541, Part A:611–625.  https://doi.org/10.1016/j.jhydrol.2016.02.006 CrossRefGoogle Scholar
  21. Gissing A, Blong R (2004) Accounting for variability in commercial flood damage estimation. Aust Geogr 35:209–222.  https://doi.org/10.1080/0004918042000249511 CrossRefGoogle Scholar
  22. Glaser R et al (2010) The variability of European floods since AD 1500. Clim Change 101:235–256.  https://doi.org/10.1007/s10584-010-9816-7 CrossRefGoogle Scholar
  23. Gomes PT (2011) Interannual oscillations in winter rainfall over Europe. Iberia study case. Finisterra Rev Port Geogr 91:27–45.  https://doi.org/10.18055/Finis1323 Google Scholar
  24. Goodess CM, Jones PD (2002) Links between circulation and changes in the characteristics of Iberian rainfall. Int J Climatol 22:1593–1615.  https://doi.org/10.1002/joc.810 CrossRefGoogle Scholar
  25. Haraguchi M, Lall U (2015) Flood risks and impacts: a case study of Thailand’s floods in 2011 and research questions for supply chain decision making. Int J Disaster Risk Reduct 14:256–272.  https://doi.org/10.1016/j.ijdrr.2014.09.005 CrossRefGoogle Scholar
  26. Hurrell JW (1995) Decadal trends in the North Atlantic oscillation: regional temperatures and precipitation. Science 269:676–679.  https://doi.org/10.1126/science.269.5224.676 CrossRefGoogle Scholar
  27. IPCC (2012) Managing the risks of extreme events and disasters to advance climate change adaptation. A special report of working groups i and ii of the intergovernmental panel on climate change. Cambridge University Press, CambridgeGoogle Scholar
  28. 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. Cambridge University Press, CambridgeGoogle Scholar
  29. Johnson F et al (2016) Natural hazards in Australia: floods. Clim Change 139:21–35.  https://doi.org/10.1007/s10584-016-1689-y CrossRefGoogle Scholar
  30. Jongman B et al (2012) Comparative flood damage model assessment: towards a European approach. Nat Hazards Earth Syst Sci 12:3733–3752.  https://doi.org/10.5194/nhess-12-3733-2012 CrossRefGoogle Scholar
  31. Jonkman SN, Bočkarjova M, Kok M, Bernardini P (2008) Integrated hydrodynamic and economic modelling of flood damage in the Netherlands. Ecol Econ 66:77–90.  https://doi.org/10.1016/j.ecolecon.2007.12.022 CrossRefGoogle Scholar
  32. Keller C, Siegrist M, Gutscher H (2006) The role of the affect and availability heuristics in risk communication. Risk Anal 26:631–639.  https://doi.org/10.1111/j.1539-6924.2006.00773.x CrossRefGoogle Scholar
  33. Liberato MLR, Ramos AM, Trigo RM, Trigo IF, Durán-Quesada AM, Nieto R, Gimeno L (2013) Moisture sources and large-scale dynamics associated with a flash flood event. Lagrangian Model Atmos.  https://doi.org/10.1029/2012GM001244 Google Scholar
  34. Llasat MC, Barriendos M, Barrera A, Rigo T (2005) Floods in Catalonia (NE Spain) since the 14th century. climatological and meteorological aspects from historical documentary sources and old instrumental records. J Hydrol 313:32–47.  https://doi.org/10.1016/j.jhydrol.2005.02.004 CrossRefGoogle Scholar
  35. Menoni S et al (2016) Flood damage: a model for consistent, complete and multipurpose scenarios. Nat Hazards Earth Syst Sci 16:2783–2797.  https://doi.org/10.5194/nhess-16-2783-2016 CrossRefGoogle Scholar
  36. Merz B, Kreibich H, Schwarze R, Thieken A (2010) Review article “Assessment of economic flood damage. Nat Hazards Earth Syst Sci 10:1697–1724.  https://doi.org/10.5194/nhess-10-1697-2010 CrossRefGoogle Scholar
  37. Moel Hd, van Alphen J, Aerts JCJH (2009) Flood maps in Europe—methods, availability and use. Nat Hazards Earth Syst Sci 9:289–301.  https://doi.org/10.5194/nhess-9-289-2009 CrossRefGoogle Scholar
  38. Nesterov ES (2009) East Atlantic oscillation of the atmospheric circulation. Russ Meteorol Hydrol 34:794–800.  https://doi.org/10.3103/s1068373909120048 CrossRefGoogle Scholar
  39. Penning-Rowsell EC, Yanyan W, Watkinson AR, Jiang J, Thorne C (2013) Socioeconomic scenarios and flood damage assessment methodologies for the Taihu Basin. China J Flood Risk Manag 6:23–32.  https://doi.org/10.1111/j.1753-318X.2012.01168.x CrossRefGoogle Scholar
  40. Pereira S, Zêzere JL, Quaresma I, Santos PP, Santos M (2016) Mortality patterns of hydro-geomorphologic disasters. Risk Anal 36:1188–1210.  https://doi.org/10.1111/risa.12516 CrossRefGoogle Scholar
  41. Pereira S, Diakakis M, Deligiannakis G, Zêzere JL (2017) Comparing flood mortality in Portugal and Greece (Western and Eastern Mediterranean). Int J Disast Risk Reduct 22:147–157.  https://doi.org/10.1016/j.ijdrr.2017.03.007 CrossRefGoogle Scholar
  42. Pinto JG, Raible CC (2012) Past and recent changes in the North Atlantic oscillation. Wiley Interdiscip Rev Climate Change 3:79–90.  https://doi.org/10.1002/wcc.150 CrossRefGoogle Scholar
  43. Quevauviller P et al (2012) Integration of research advances in modelling and monitoring in support of WFD river basin management planning in the context of climate change. Sci Total Environ 440:167–177.  https://doi.org/10.1016/j.scitotenv.2012.07.055 CrossRefGoogle Scholar
  44. Rilo A, Tavares A, Freire P, Santos PP, Zêzere JL (2017) The contribution of historical information to flood risk management in the Tagus estuary. Int J Disast Risk Reduct 25:22–35.  https://doi.org/10.1016/j.ijdrr.2017.07.008 CrossRefGoogle Scholar
  45. Rojas R, Feyen L, Watkiss P (2013) Climate change and river floods in the European Union: socio-economic consequences and the costs and benefits of adaptation. Glob Environ Change 23:1737–1751.  https://doi.org/10.1016/j.gloenvcha.2013.08.006 CrossRefGoogle Scholar
  46. Sáez de Cámara E, Gangoiti G, Alonso L, Iza J (2015) Daily precipitation in Northern Iberia: understanding the recent changes after the circulation variability in the North Atlantic sector. J Geophys Res Atmos 120(9981–9910):9005.  https://doi.org/10.1002/2015JD023306 Google Scholar
  47. Salgueiro AR, Machado MJ, Barriendos M, Pereira HG, Benito G (2013) Flood magnitudes in the Tagus River (Iberian Peninsula) and its stochastic relationship with daily North Atlantic Oscillation since mid-19th Century. J Hydrol 502:191–201.  https://doi.org/10.1016/j.jhydrol.2013.08.008 CrossRefGoogle Scholar
  48. Santos JA, Corte-Real J (2006) Temperature extremes in Europe and wintertime large-scale atmospheric circulation: HadCM3 future scenarios. Clim Res 31:3–18CrossRefGoogle Scholar
  49. Santos PP, Reis E (2017) Assessment of stream flood susceptibility: a cross-analysis between model results and flood losses. J Flood Risk Manag.  https://doi.org/10.1111/jfr3.12290 Google Scholar
  50. Santos JA, Corte-Real J, Leite SM (2005) Weather regimes and their connection to the winter rainfall in Portugal. Int J Climatol 25:33–50.  https://doi.org/10.1002/joc.1101 CrossRefGoogle Scholar
  51. Santos J, Corte-real J, Leite S (2007a) Atmospheric large-scale dynamics during the 2004/2005 winter drought in portugal. Int J Climatol 27:571–586.  https://doi.org/10.1002/joc.1425 CrossRefGoogle Scholar
  52. Santos JA, Corte-Real J, Ulbrich U, Palutikof J (2007b) European winter precipitation extremes and large-scale circulation: a coupled model and its scenarios. Theor Appl Climatol 87:85–102.  https://doi.org/10.1007/s00704-005-0224-2 CrossRefGoogle Scholar
  53. Santos JA, Reis MA, De Pablo F, Rivas-Soriano L, Leite SM (2013a) Forcing factors of cloud-to-ground lightning over Iberia: regional-scale assessments. Nat Hazards Earth Syst Sci 13:1745–1758.  https://doi.org/10.5194/nhess-13-1745-2013 CrossRefGoogle Scholar
  54. Santos JA, Woollings T, Pinto JG (2013b) Are the winters 2010 and 2012 archetypes exhibiting extreme opposite behavior of the North Atlantic Jet stream? Mon Weather Rev 141:3626–3640.  https://doi.org/10.1175/MWR-D-13-00024.1 CrossRefGoogle Scholar
  55. Santos M, Bateira C, Soares L, Hermenegildo C (2014) Hydro-geomorphologic GIS database in Northern Portugal, between 1865 and 2010: temporal and spatial analysis. Int J Disast Risk Reduct 10, Part A:143–152.  https://doi.org/10.1016/j.ijdrr.2014.08.003 CrossRefGoogle Scholar
  56. Santos M, Santos JA, Fragoso M (2015) Historical damaging flood records for 1871–2011 in Northern Portugal and underlying atmospheric forcings. J Hydrol 530:591–603.  https://doi.org/10.1016/j.jhydrol.2015.10.011 CrossRefGoogle Scholar
  57. Santos JA, Belo-Pereira M, Fraga H, Pinto JG (2016) Understanding climate change projections for precipitation over western Europe with a weather typing approach. J Geophys Res Atmos 121:1170–1189.  https://doi.org/10.1002/2015JD024399 CrossRefGoogle Scholar
  58. Santos M, Fragoso M, Santos JA (2017a) Regionalization and susceptibility assessment to daily precipitation extremes in mainland Portugal. Appl Geogr 86:128–138.  https://doi.org/10.1016/j.apgeog.2017.06.020 CrossRefGoogle Scholar
  59. Santos M, Santos JA, Fragoso M (2017b) Atmospheric driving mechanisms of flash floods in Portugal. Int J Climatol.  https://doi.org/10.1002/joc.5030 Google Scholar
  60. Schroeder AJ et al (2016) The development of a flash flood severity index. J Hydrol 541:523–532.  https://doi.org/10.1016/j.jhydrol.2016.04.005 CrossRefGoogle Scholar
  61. Silva AT, Portela MM, Naghettini M (2012) Nonstationarities in the occurrence rates of flood events in Portuguese watersheds. Hydrol Earth Syst Sci 16(1):241–254.  https://doi.org/10.5194/hess-16-241-2012 CrossRefGoogle Scholar
  62. Smith DI (1994) Flood damage estimation—a review of urban stagedamage curves and loss functions. Water SA 20:231–238Google Scholar
  63. Smith K, Ward RC (1998) Floods: physical processes and human impacts. Wiley, EnglandGoogle Scholar
  64. Tingsanchali T (2012) Urban flood disaster management. Procedia Eng 32:25–37.  https://doi.org/10.1016/j.proeng.2012.01.1233 CrossRefGoogle Scholar
  65. Trigo RM (2011) The impacts of the NAO on hydrological resources of the Western Mediterranean. In: Vicente-Serrano SM, Trigo RM (eds) Hydrological, socioeconomic and ecological impacts of the North Atlantic Oscillation in the Mediterranean Region, vol 46. Advances in global change research. Springer, Dordrecht, pp 41–56.  https://doi.org/10.1007/978-94-007-1372-7_4 CrossRefGoogle Scholar
  66. UNISDR (2016) Factsheet: global 2015 disasters in numbers. http://www.unisdr.org/files/31685_factsheet2012.pdf
  67. van den Dool HM, Saha S, Johansson Å (2000) Empirical orthogonal teleconnections. J Clim 13:1421–1435.  https://doi.org/10.1175/1520-0442 CrossRefGoogle Scholar
  68. Wobus C, Lawson M, Jones R, Smith J, Martinich J (2014) Estimating monetary damages from flooding in the United States under a changing climate. J Flood Risk Manag 7:217–229.  https://doi.org/10.1111/jfr3.12043 CrossRefGoogle Scholar
  69. Woollings T, Pinto JG, Santos JA (2011) Dynamical evolution of North Atlantic ridges and poleward jet stream displacements. J Atmos Sci 68:954–963.  https://doi.org/10.1175/2011JAS3661.1 CrossRefGoogle Scholar
  70. Zêzere JL et al (2014) DISASTER: a GIS database on hydro-geomorphologic disasters in Portugal. Nat Hazards.  https://doi.org/10.1007/s11069-013-1018-y Google Scholar

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© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute of Geography and Spatial PlanningUniversidade de LisboaLisbonPortugal
  2. 2.Centre for the Research and Technology of Agro-Environmental and Biological Sciences, CITABUniversidade de Trás-os-Montes e Alto Douro, UTADVila RealPortugal

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