Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
doi:10.5194/hess-2016-519
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Technical note
08 Nov 2016
Review status
A revision of this discussion paper was accepted for the journal Hydrology and Earth System Sciences (HESS) and is expected to appear here in due course.
Defining flood risk in a multivariate framework: Application on the Panaro watershed
Eleni Maria Michailidi and Baldassare Bacchi DICATAM, Università degli studi di Brescia, Via Branze 42, 25123 Brescia, Italy
Abstract. One of the most important tasks a hydrologist must face is to estimate the hydrological risk (i.e. probability) of a variable exceeding a certain threshold. This risk is often expressed in terms of a Return Period, T, and refers to the failure of the hydraulic structure which controls this variable. Sometimes the "structure" is simply the river embankmentsthe failure of which means their overtopping by the river. The widely adopted definition of T, in a problem regarding the maxima of hydro-logical variables, is "the average time elapsing between two successive occurrences of an event exceeding a given magnitude of the natural variables".

Conventional approaches for the estimation of T involve a single natural variable (i.e. flood peak, maximum rainfall intensity, etc.) and its frequency analysis.

However, a univariate approach in complex problems ignores the effect of other significant variables leading to different risk levels for each quantity of interest and resulting in an inaccurate estimate of the risk-often wrongfully set equal to the risk of the hydrological event. For example, if one considers the flood inflow in a lake around which establishments are positioned, the variable to be investigated relating to risk assessment is the lake water level. The same water level may occur from very different flood hydrographs, even when the same initial water level and specific spillway characteristics are taken into account. We considered this a result of the interaction of three joint factors: the hydrograph's peak, volume and shape. Consequently, we apply a multivariate distribution framework (using copula functions) in order to find a region where all underlying events are assigned to the same risk- associated here to the maximum water level.


Citation: Michailidi, E. M. and Bacchi, B.: Defining flood risk in a multivariate framework: Application on the Panaro watershed, Hydrol. Earth Syst. Sci. Discuss., doi:10.5194/hess-2016-519, in review, 2016.
Eleni Maria Michailidi and Baldassare Bacchi
Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC1: 'Referee report', Francesco Serinaldi, 21 Nov 2016 Printer-friendly Version 
 
RC2: 'Referee Report', Anonymous Referee #2, 04 Dec 2016 Printer-friendly Version Supplement 
 
AC1: 'Final response to comments', Eleni Maria Michailidi, 27 Jan 2017 Printer-friendly Version Supplement 
Eleni Maria Michailidi and Baldassare Bacchi
Eleni Maria Michailidi and Baldassare Bacchi

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Short summary
Our aim is to verify a methodology of risk estimation of levee overtopping that sets a priori the variable of interest (i.e. the maximum water level in a reservoir as a function of the structure, peak, volume and hydrograph shape). The risk region in the bivariate plane is defined only when considering one "mean" shape and each factor's weight is case specific. Comparing with various return period definitions (uni- or multivariate) showed the importance of deciding a priori the risk of interest.
Our aim is to verify a methodology of risk estimation of levee overtopping that sets a priori...
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