Abstract

This paper deals with the identification of extreme multiscale flooding events in the Alpine conurbation of Grenoble, France. During such events, typically over one to several days, the organization in space and time of the generating hydrometeorological situation triggers the concurrent reaction of varied sets of torrents and main rivers and creates diverse socioeconomic damages and disruptions. Given the limits of instrumental data over the long run, in particular at the torrent scale, we explore the potential of a database of reported extreme flood events to study multiscale flooding over a Metropolitan domain. The definition of Metropolitan events is mainly based on the database built by the RTM (Restauration des Terrains de Montagne, a technical service of the French Forest Administration). Relying on expert reports, the RTM database covers the long lifetime of this French national service for the management of mountainous areas (1850–2019). It provides quantitative information about the time and place of inundation events as well as qualitative information about the generating phenomena and the consequent damages. The selection process to define Metropolitan events simply chronologically explores the RTM database and complements it with historical research data. It looks for concurrence between site events at the same date under a chosen set of criteria. All scales together, we selected 104 Metropolitan events between 1850 and 2019. Exploring the list of dates, we examine the homogeneity of the Metropolitan events over 1850–2019 and their space–time characteristics. We evidence the existence of multiscale flooding at the Metropolitan scale, and we discuss some implications for flood risk management.

Highlights

  • Many conurbations in the Alps, Grenoble (France), have experienced numerous disastrous floods throughout history [1]

  • The selection process of Metropolitan events is in a sense simplistic: (a) explore chronologically a core database, and discard the events not dated to the day; (b) select the site events of minimum intensity, and complement this list using information available from other databases; and (c) for each site event, look for coincidence with other site events at the same date and decide to define a set of concurrent site events occurring during neighboring days as a Metropolitan event

  • This aggregation results from the co-occurrence analysis in three ways: the basic need of co-occurrence detection—we only used events dated to the day; the definition of Metropolitan events with regard to a minimal intensity at sites—we discarded some isolated low intensity site events; and the co-occurrence effect itself—many Metropolitan events involve more than one site event

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Summary

Introduction

Many conurbations in the Alps, Grenoble (France), have experienced numerous disastrous floods throughout history [1]. Improved datasets allowed us to investigate in more details and at finer scales the meteorological and hydrological characteristics of some recent multiscale floods This is the case of the interaction of rainfall patterns, with the basin morphology governing the contribution of the Inn River to the Upper Danube flood in 2013 compared with previous historical floods [27]. This paper explores the potential of a database of reported torrential and riverine flood events to document this question This database (i) covers a long historic period and relies on expert reports, (ii) provides quantitative information about the time and place of the floods and of the space scale, and (iii) brings qualitative information about the phenomena and the damages.

Hydrometeorological Data Fail to Cover Small Scales over the Long Run
The Content of the RTM Database
RTM Database Covering the Metropolitan Area
Jump of Torrential Flood Occurrence at the Turn of the 1980s
Consistency between Quantitative Information and Qualitative Narratives
Historical Completeness of Torrential Information
Processing the RTM Database to Define Metropolitan Flooding Events
Expert Selection from an Expert Database
Global Characteristics of the Selection Process
Homogeneity of the List of Metropolitan Events
Time and Space Characteristics of Metropolitan Events
Findings
Conclusive Comments on the Created Metropolitan Dataset
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