Abstract. Despite the strong societal impact of natural hazards,
their documentation remains incomplete, with only a few inventories
exceeding the past two centuries. Surprisingly enough, this also applies to
Europe, a densely populated territory, and to floods, which along with
storms are the most common and damage-causing natural hazard in Europe. In
addition, existing inventories have often been compiled by scientists and
technicians and are used for risk management in a top-down manner, although
the participation of all parties concerned has been recognized as a key
factor for disaster reduction. To address this double paradox, the present
article presents the regional flood risk observatory ORRION for the Alsatian
region, north-eastern France, and its very rich data content. Stemming from
two successive interdisciplinary and transnational French–German research
projects, ORRION was designed as a participative online platform on which
information is shared between individuals, stakeholders, engineers, and
scientists. This original approach aims at maximizing knowledge
capitalization and contributes to building a common knowledge base for flood
risk. ORRION is organized by events including all river floods that have
likely arisen from a single synoptic situation. For each event, it documents
information sources, date of occurrence, causes, and consequences in terms
of damage and affected river basins and municipalities. ORRION has contributed
toward renewing our knowledge of flood hazard and risk in the target area.
Notably, here, long chronicles of floods are derived for 13 rivers, the
Rhine and most of its main Alsatian tributaries and for all Alsatian
municipalities, most of them since the end of the 15th century but
over more than one millennium for the Rhine. Their main characteristics
according to various typologies (seasonality, causes, severity, etc.) are
analysed. Major developments over the study period related to sources, land
use, and/or climate change are identified. The advantages and limitations of
the approach are discussed, and the potential to expand both data
exploitation and build common flood risk knowledge is outlined.