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Natural Hazards

, Volume 66, Issue 3, pp 1327–1343 | Cite as

Potential impacts of extreme storm surges on a low-lying densely populated coastline: the case of Dunkirk area, Northern France

  • Aurélie MaspataudEmail author
  • Marie-Hélène Ruz
  • Stéphane Vanhée
Original Paper

Abstract

Along the southern coast of the North Sea, a large proportion of the Flemish coastal plain consists of densely populated reclaimed land, much of which lying below mean high tide level. This is particularly the case along the northern coast of France, from Dunkirk to the Belgium border, where the shoreline consists of coastal dunes that protect low-lying reclaimed lands from marine flooding. This area is vulnerable and subject to several risks. Extreme weather conditions could induce strong surges that could cause (1) a shoreline retreat, (2) marine submersion and (3) land and/or urban flooding due to drainage problems of the polders. Highly energetic events such as the November 2007 storm could have had much more severe consequences especially if they occurred at high tide and/or during a spring tide. In the current context of global change and projected sea-level rise, it is then important for the local authorities to take into account the potential impacts and return periods of such events, in order to implement coastal risk policies prevention and management, to reinforce sea defense, increase pumping station efficiency and plan warning systems against marine submersion and polder flooding, which is not the case yet in Northern France.

Keywords

Storm surges Low-lying coastline Vulnerability Erosion Submersion Polder flooding 

Notes

Acknowledgments

This study was partly funded by the French “Agence Nationale pour la Recherche” (ANR) through the project VULSACO (VULnerability of SAndy COast systems to climatic and anthropic changes, ANR VMC06-009). A. Maspataud benefited from a PhD grant from the French Ministry of Education. The authors acknowledge support from the Institution Interdépartementale des Wateringues for providing pictures and map derived from LIDAR data.

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Aurélie Maspataud
    • 1
    • 2
    • 3
    • 4
    Email author
  • Marie-Hélène Ruz
    • 1
    • 2
    • 3
  • Stéphane Vanhée
    • 5
  1. 1.Univ Lille Nord de FranceLilleFrance
  2. 2.ULCO, LOGWimereuxFrance
  3. 3.CNRS, UMR8187WimereuxFrance
  4. 4.UMR CNRS 6143 M2C, Univ. de RouenMont Saint AignanFrance
  5. 5.Institution Interdépartementale des WateringuesSaint-OmerFrance

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