Le recul des falaises crayeuses haut-normandes et les inondations par la mer en Manche centrale et orientale : de la quantification de l'aléa à la caractérisation des risques induits

Pauline Letortu 1
1 LETG - Caen - Littoral, Environnement, Télédétection, Géomatique
LETG - Littoral, Environnement, Télédétection, Géomatique UMR 6554
Abstract : This thesis focuses on the quantification of two hazards that are coastal chalk cliff retreat in Upper Normandy and coastal flooding events in the central and eastern English Channel. These interdependent phenomena that generate damages have a little-known functioning which is characterized by events of varying intensity and frequency. The quantitative work is based on a systemic approach and on an approach that joints spatial and temporal scales together. This work integrates the frequency/intensity ratio, and therefore the effectiveness of the factors and processes responsible for their trigger. This work aims to: 1) calculate the retreat rates and retreat rhythms of cliffs; 2) identify the factors responsible for triggering falls; 3) quantify the production of debris and ablation rate of the cliff face; 4) assess the changes in frequency and intensity of coastal flooding events; 5) determine the origin of these changes; 6) think about the methods of mapping the hazards " coastal flooding " and " cliff retreat ".
Document type :
Theses
Complete list of metadatas

https://tel.archives-ouvertes.fr/tel-01018719
Contributor : Pauline Letortu <>
Submitted on : Friday, July 4, 2014 - 5:34:03 PM
Last modification on : Tuesday, May 7, 2019 - 6:30:05 PM
Long-term archiving on : Tuesday, April 11, 2017 - 9:45:29 AM

Identifiers

  • HAL Id : tel-01018719, version 1

Citation

Pauline Letortu. Le recul des falaises crayeuses haut-normandes et les inondations par la mer en Manche centrale et orientale : de la quantification de l'aléa à la caractérisation des risques induits. Géographie. Université de Caen, 2013. Français. ⟨tel-01018719⟩

Share

Metrics

Record views

1177

Files downloads

27834