Natural Hazards

, Volume 91, Issue 3, pp 931–961 | Cite as

A method for modelling coastal erosion risk: the example of Scotland

  • James M. Fitton
  • Jim D. Hansom
  • Alistair F. Rennie
Original Paper
  • 210 Downloads

Abstract

It is thought that 70% of beaches worldwide are experiencing erosion (Bird in Coastline changes: a global review, Wiley, Hoboken, 1985), and as global sea levels are rising and expected to accelerate, the management of coastal erosion is now a shared global issue. This paper aims to demonstrate a method to robustly model both the incidence of the coastal erosion hazard, the vulnerability of the population, and the exposure of coastal assets to determine coastal erosion risk, using Scotland as a case study. In Scotland, the 2017 Climate Change Risk Assessment for Scotland highlights the threat posed by coastal erosion to coastal assets and the Climate Change (Scotland) Act 2009 requires an Adaptation Programme to address the risks posed by climate change. Internationally, an understanding and adaption to coastal hazards is imperative to people, infrastructure and economies, with Scotland being no exception. This paper uses a Coastal Erosion Susceptibility Model (CESM) (Fitton et al. in Ocean Coast Manag 132:80–89. https://doi.org/10.1016/j.ocecoaman.2016.08.018 , 2016) to establish the exposure to coastal erosion of residential dwellings, roads, and rail track in Scotland. In parallel, the vulnerability of the population to coastal erosion, using a suite of indicators and Experian Mosaic Scotland geodemographic classification, is also presented. The combined exposure and vulnerability data are then used to determine coastal erosion risk in Scotland. This paper identifies that 3310 dwellings (a value of £524 m) are exposed to erosion, and the Coastal Erosion Vulnerability Index (CEVI) identifies 1273 of these are also considered to be highly vulnerable to coastal erosion, i.e. at high risk. Additionally, the CESM classified 179 km (£1.2 bn worth) of road and 13 km of rail track (£93 m to £2 bn worth) to be exposed. Identifying locations and assets that are exposed and at risk from coastal erosion is crucial for effective management and enables proactive, rather that reactive, decisions to be made at the coast. Natural hazards and climate change are set to impact most on the vulnerable in society. It is therefore imperative that we begin to plan, manage, and support both people and the environment in a manner which is socially just and sustainable. We encourage a detailed vulnerability analysis, such as the CEVI demonstrated here for Scotland, to be included within future coastal erosion risk research. This approach would support a more sustainable and long-term approach to coastal management decisions.

Keywords

Coastal erosion Vulnerability Geodemographic classification Exposure GIS 

Notes

Acknowledgements

The authors would like to thank the three anonymous referees for their helpful and constructive comments on an earlier draft of this paper. This work was co-funded by an EPRSC Industrial Case Ph.D. Studentship Award (EP/J500434/1) and Scottish Natural Heritage (013195). The authors would also like to thank Experian for providing access to the Mosaic Scotland classification free of charge for research purposes.

References

  1. AECOM (2016a) Gourock Railway pier inspection: visual inspection report. Project Reference: 60513918. NovemberGoogle Scholar
  2. AECOM (2016b) Helmsdale sea wall defence outline optioneering report: 60486280Google Scholar
  3. Alexandrakis G, Poulos S (2014) An holistic approach to beach erosion vulnerability assessment. Sci Rep 4.i:6078.  https://doi.org/10.1038/srep06078 Google Scholar
  4. Allen K (2003) Vulnerability reduction and the community-based approach. In: Pelling M (ed.) Natural disasters and development in a globalising world, pp 170–184Google Scholar
  5. ASC (2016) UK Climate Change Risk Assessment 2017 Evidence Report Summary for Scotland. Adaptation Sub-Committee of the Committee on Climate Change, LondonGoogle Scholar
  6. BBC (2005) Community shock over storm deaths. http://news.bbc.co.uk/1/hi/scotland/4170621.stm. Accessed on 05 Dec 2015
  7. Bird E (1985) Coastline changes: a global review. Wiley, Hoboken, p 232Google Scholar
  8. Black J, Hashimzade N, Myles G (2009) A dictionary of economics. Oxford University Press, OxfordCrossRefGoogle Scholar
  9. Boruff BJ, Emrich C, Cutter SL (2005) Erosion hazard vulnerability of US coastal counties. J Coast Res.  https://doi.org/10.2112/04-0172.1 Google Scholar
  10. Bosom E, Jiménez JA (2011) Probabilistic coastal vulnerability assessment to storms at regional scale application to Catalan beaches (NW Mediterranean). Nat Hazards Earth Syst Sci 11(2):475–484.  https://doi.org/10.5194/nhess-11-475-2011 CrossRefGoogle Scholar
  11. Brooks N (2003) Vulnerability, risk and adaptation: a conceptual framework. Tyndall Working Paper No. 38Google Scholar
  12. Cooper J, McKenna J (2008) Social justice in coastal erosion management: the temporal and spatial dimensions. Geoforum 39(1):294–306.  https://doi.org/10.1016/j.geoforum.2007.06.007 CrossRefGoogle Scholar
  13. Cutter SL (1996) Vulnerability to environmental hazards. Prog Hum Geogr 20(4):529–539CrossRefGoogle Scholar
  14. Cutter SL, Boruff BJ, Shirley WL (2003) Social vulnerability to environmental hazards. Soc Sci Q 84(2):242–261.  https://doi.org/10.1111/1540-6237.8402002 CrossRefGoogle Scholar
  15. Dawson D, Shaw J, Roland Gehrels W (2016) Sea-level rise impacts on transport infrastructure: the notorious case of the coastal railway line at Dawlish, England. J Transp Geogr 51:97–109.  https://doi.org/10.1016/j.jtrangeo.2015.11.009 CrossRefGoogle Scholar
  16. Department for Communities and Local Government (2015) English Indices of Deprivation 2015. https://www.gov.uk/government/statistics/english-indices-of-deprivation-2015. Accessed on 21 Nov 2017
  17. Devon Maritime Forum (2015) Holding the line?—reviewing the impacts, responses and resilience of people and places in Devon to the winter storms of 2013/2014. Devon Maritime ForumGoogle Scholar
  18. England K, Knox K (2015) Targeting flood investment and policy to minimise flood disadvantage. Joseph Rowntree FoundationGoogle Scholar
  19. Exeter DJ, Zhao J, Crengle S, Lee A, Browne M (2017) The New Zealand Indices of Multiple Deprivation (IMD): a new suite of indicators for social and health research in Aotearoa, New Zealand. PLoS ONE 12(8):1–19.  https://doi.org/10.1371/journal.pone.0181260 CrossRefGoogle Scholar
  20. Experian (2009) Mosaic Scotland: the consumer classification for Scotland. http://guides.business-strategies.co.uk/mosaicscotland2009/html/visualisation.htm?011121. Accessed on 11 July 2015
  21. Fitton JM, Hansom JD, Rennie AF (2016) A national coastal erosion susceptibility model for Scotland. Ocean Coast Manag 132:80–89.  https://doi.org/10.1016/j.ocecoaman.2016.08.018 CrossRefGoogle Scholar
  22. Hansom JD, Fitton JM, Rennie AF (2017) Dynamic Coast—National Coastal Change Assessment: National Overview, CRW2014/2, p 44Google Scholar
  23. Hegde AV, Reju VR (2007) Development of coastal vulnerability index for Mangalore coast, India. J Coast Res 235:1106–1111.  https://doi.org/10.2112/04-0259.1 CrossRefGoogle Scholar
  24. Howieson C (2003) Destinations of early leavers. Centre for Educational SociologyGoogle Scholar
  25. Howieson C, Iannelli C (2008) The effects of low attainment on young people’s outcomes at age 22–23 in Scotland. Br Educ Res J 34(2):269–290.  https://doi.org/10.1080/01411920701532137 CrossRefGoogle Scholar
  26. Kirch W, Bertollini R, Menne B (eds) (2005) Extreme Weather events and public health responses. Springer, Berlin.  https://doi.org/10.1007/3-540-28862-7 Google Scholar
  27. Leatherman SP, Zhang K, Douglas BC (2000) Sea level rise shown to drive coastal erosion. EOS 81(6):55–57.  https://doi.org/10.1029/00EO00034 CrossRefGoogle Scholar
  28. Lindley S, Neill JO, Kandeh J, Lawson N, Christian R, Neill MO (2011) Climate change, justice and vulnerability. Joseph Rowntree FoundationGoogle Scholar
  29. Lins-de-Barros FM, Muehe D (2011) The smartline approach to coastal vulnerability and social risk assessment applied to a segment of the east coast of Rio de Janeiro State, Brazil. J Coast Conserv 17(2):211–223.  https://doi.org/10.1007/s11852-011-0175-y CrossRefGoogle Scholar
  30. Martins VN, Pires R, Cabral P (2012) Modelling of coastal vulnerability in the stretch between the beaches of Porto de Mós and Falésia, Algarve (Portugal). J Coast Conserv Pereira 2004.  https://doi.org/10.1007/s11852-012-0191-6 Google Scholar
  31. Masselink G, Russell P (2013) Impacts of climate change on coastal erosion. MCCIP Sci Rev 1:71–86.  https://doi.org/10.14465/2013.arc09.071-086 Google Scholar
  32. Mclaughlin S, Cooper JAG (2010) A multi-scale coastal vulnerability index: a tool for coastal managers? Environ Hazards 9(3):233–248.  https://doi.org/10.3763/ehaz.2010.0052 CrossRefGoogle Scholar
  33. Mendoza E, Jimenez JA (2006) Storm-induced beach erosion potential on the Catalonian Coast. J Coast Res SI 48:81–88Google Scholar
  34. Network Rail (2014) Dawlish. https://www.networkrail.co.uk/timetables-and-travel/storm-damage/dawlish/. Accessed on 12 Feb 2015
  35. Potts J (1999) The non-statutory approach to coastal defence in England and Wales: Coastal Defence Groups and Shoreline Management Plans. Marine Policy 23(4):479–500.  https://doi.org/10.1016/S0308-597X(98)00053-0 CrossRefGoogle Scholar
  36. Reacher M, McKenzie K, Lane C, Nichols T, Kedge I, Iversen A, Hepple P, Walter T, Laxton C, Simpson J (2004) Health impacts of flooding in Lewes: a comparison of reported gastrointestinal and other illness and mental health in flooded and non-flooded households. Commun Dis Public Health/PHLS 7(1):39–46Google Scholar
  37. Reeder LA, Rick TC, Erlandson JM (2010) Our disappearing past: a GIS analysis of the vulnerability of coastal archaeological resources in California’s Santa Barbara Channel region. J Coast Conserv 16(2):187–197.  https://doi.org/10.1007/s11852-010-0131-2 CrossRefGoogle Scholar
  38. Registers of Scotland (2017) Quarterly statistics time series: quarter 1 April to June 2017Google Scholar
  39. Scottish Environment Protection Agency (2016) Local flood risk management plans. https://www.sepa.org.uk/environment/water/flooding/local-frm-plans/. Accessed on 1 June 2017
  40. Scottish Government (2013) Statistical Publication: Poverty and Income Inequality in Scotland: 2011–2012, pp 1–44Google Scholar
  41. Scottish Government (2014) Scotlands Third National Planning Framework, p 84Google Scholar
  42. Scottish Government (2017) The Scottish Index of multiple deprivation. http://www.gov.scot/Topics/Statistics/SIMD
  43. Scottish Environment Protection Agency (SEPA) (2009) Flooding in Scotland: a consultation on potentially vulnerable areas and local plan districts, p 33Google Scholar
  44. Small C, Nicholls R (2003) A global analysis of human settlement in coastal zones. J Coast Res 19(3):584–599Google Scholar
  45. The Guardian (2014) Proud rush to repair ‘the hole’ in Dawlish coastal train line. http://www.theguardian.com/uk-news/2014/mar/10/rush-repair-hole-dawlish-train-line-network-railAccessed on 4 July 2014
  46. The Scottish Government (2014) Scottish Government Urban Rural Classification 2013–2014Google Scholar
  47. The Scottish Government (2015) Mapping flood disadvantage in Scotland 2015: main report, p 102Google Scholar
  48. Thieler E, Hammar-Klose E (1999) National assessment of coastal vulnerability to sea-level rise, USGoogle Scholar
  49. Tomlinson CJ, Chapman L, Thornes JE, Baker CJ (2011) Including the urban heat island in spatial heat health risk assessment strategies: a case study for Birmingham, UK. Int J Health Geogr 10(1):42.  https://doi.org/10.1186/1476-072X-10-42 CrossRefGoogle Scholar
  50. Turner BL, Kasperson RE, Matson PA, McCarthy JJ, Corell RW, Christensen L, Eckley N, Kasperson JX, Luers A, Martello ML, Polsky C, Pulsipher A, Schiller A (2003) A framework for vulnerability analysis in sustainability science. Proc Natl Acad Sci USA 100(14):8074–8079.  https://doi.org/10.1073/pnas.1231335100 CrossRefGoogle Scholar
  51. Twigg J (2001) Corporate social responsibility and disaster reduction: a global overview. Benfield Greig Hazard Research Centre, University College London, London, pp 1–84Google Scholar
  52. Welsh Government (2015) Welsh Index of multiple deprivation. http://gov.wales/statistics-and-research/welsh-index-multipledeprivation/?lang=en. Accessed on 21 Nov 2017
  53. Willis I, Fitton JM (2016) A review of multivariate social vulnerability methodologies; a case study of the River Parrett catchment, Somerset. Nat Hazards Earth System Sci Discuss 2003:1–17.  https://doi.org/10.5194/nhess-2016-58 Google Scholar
  54. Willis I, Gibin M, Barros J, Webber R (2010) Applying neighbourhood classification systems to natural hazards: a case study of Mt Vesuvius. Nat Hazards 70(1):1–22.  https://doi.org/10.1007/s11069-010-9648-9 CrossRefGoogle Scholar
  55. Wisner B, Blaikie P, Cannon T, Davis I (2004) At Risk: natural hazards, peoples vulnerability and disasters, 2nd edn. Routledge, London, p 496Google Scholar
  56. Zhang K, Douglas BC, Leatherman SP (2004) Global warming and coastal erosion. Clim Change 64(1/2):41–58.  https://doi.org/10.1023/B:CLIM.0000024690.32682.48 CrossRefGoogle Scholar

Copyright information

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

Authors and Affiliations

  1. 1.Department of PlanningAalborg UniversityAalborgDenmark
  2. 2.School of Geographical and Earth SciencesUniversity of GlasgowGlasgowUK
  3. 3.Scottish Natural HeritageInvernessUK

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