Abstract. The knowledge of past events and long-term series is a base to understand phenomena, analyze climate change and forecast future events. To increase long term series and their accuracy, NUNIEAU software, sort of ³'LJLWL]LQJ 7DEOH´ ZDV GHYHORSHG DQG GLVWULEXWHG IUHHO\ VLQFH E\ &HUHPD ,W LV DQ LQWHUQDWLRQDO UHIHUHQFH LQ WLGH gauge record, but has been improved to widespread its used for river and rainfall record. The SCHAPI (the French national service for hydrometeorology and support to flood forecasting) launched a tender to rescue the old data on rainfall and rivers available. Many improvements have been done to manage different types of rainfall charts. NUNIEAU was developed in French and is also available in English and Spanish version with collaboration of foreign institutes. Main challenge is not only to digitize old data but also assess the quality of digitized data. Protocol has been done to control the digitizing process and after to allows assessing the final quality of data.

"Vulnérabilité du territoire national aux risques littoraux" est une étude menée par le CETMEF et les CETE Méditerranée et CETE de l'Ouest, aujourd'hui regroupés au sein du Cerema. Les principaux objectifs étaient de faire une synthèse des connaissances sur la vulnérabilité aux risques côtiers et d'établir une représentation cartographique des secteurs vulnérables en France. L'étude a porté sur la métropole et sur l'Outre-mer. La détermination de différents indicateurs, basés sur l'analyse de bases de données disponibles au niveau national (arrêtés de déclaration de l'état de catastrophe naturelle, niveaux marins extrêmes, BD Topo® IGN et enjeux, dont bâti, infrastructures de transport, établissements Seveso et réseau Natura 2000), a permis de quantifier la vulnérabilité à la submersion marine et de réaliser des cartes de synthèse. La cartographie de la vulnérabilité de chaque commune française permet d'identifier certains secteurs très vulnérables, confirmant ce qui était déjà constaté au niveau national, et de pouvoir les comparer. Ressortent ainsi par exemple le littoral

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Abstract. This paper aims at presenting different topographic analysis conducted with GIS software in order to detect flood protection structures, natural or artificial, in river floodplains but also in coastal zones. Those computations are relevant because of the availability of high-resolution lidar digital terrain model (DTM). An automatic detection permits to map the footprint of those structures. Then detailed mapping of structure crest is achieved by implementing a least cost path analysis on DTM but also on other terrain aspects such as the curvature. On coastal zones, the analysis is going further by identifying flood protected areas and the level of protection regarding sea level. This article is illustrated by examples on French Mediterranean rivers and coastal areas.

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