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Citation
Galéa, G. & S. Canali (2005). Annual mean discharge
and low flow regime regionalization of the French Moselle catchment: link
between regional models. Rev. Sci. Eau18 (3) : 331-352. [article
in
French]
Original title: Régionalisation des modules annuels
et des régimes d'étiage du bassin hydrographique de la Moselle
française : lien entre modèles régionaux.
Full
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Abstracts
Regional modelling of the annual mean discharge and average
low-flow discharge of the French Moselle sub-basins should improve our knowledge
of its hydrosystem functioning. These models are part of the directives of
the Water Act and Fishery Act and more recently of the European Framework Directive.
Forty-nine sub-basins divided into three groups were used to calibrate and
validate a regional model of the annual mean discharge and a regional model
of low-flow discharge.
A two-parameter Weibull distribution was used to represent
the regional models of the Moselle catchment. Results show a relative dependence
between the regional models. A pseudo-dependence was observed between the regional
annual mean discharge model and the regional average low-flow discharge model
for the average years to the dry ones. This property allowed us to use a common
simplified procedure, established from the low-flow episodic discharge measurements,
to estimate the flow descriptors of an ungauged sub-basin, namely the median
annual mean discharge and the median minimal daily low-flow discharge . For the low-flow regional model a second
local descriptor was necessary, the characteristic time of low-flow discharges
of the sub-basin (j), which allowed us to generalize the model
for every duration (d). The QdF flow-duration-frequency concept, applied to
the low-flow discharge, is independent of the selected frequency law and uses
the observed convergence of the distributions of various durations (d). The
operational character of these regional models depends strongly on the accuracy
of the estimation of the flow descriptors of the studied sub-basin ( for the annual mean discharges and for the low-flow discharges). These flow descriptors
were estimated according to two approaches: a traditional approach based on
multiple regression and a simple approach based on a trend coefficient (k)
calculated between low-flow episodic discharge measurements that are concomitant
between the studied sub-basin (no or few observations) and the reference sub-basin
(time series of continuous discharges). A choice of five low flow discharge
measurements per year over the last twelve years (on average) was made. Knowing
the flow descriptor of the reference sub-basin, the flow descriptor of the
studied sub-basin was then deduced from the trend coefficient k. For we observe in the majority of cases a significant
improvement of the estimation obtained by regression, especially a net reduction
of the most important variations. A similarity of the surface classes between
the studied sub-basin and the reference sub-basin is not required. Geographical
proximity of the sub-basins seems to provide better results. The estimation
of the median annual mean discharges using multiple regression was rather impressive.
In addition, the trend coefficient k established for the low-flow discharges
allowed a coherent estimation of and . This quite unexpected result suggests that
the observed pseudo-dependence between regional models has a physical reality.
The "regionalization" technique detailed herein
does not require a significant investment in flow measurements of the ungauged
sub-basin compared to the national hydrometric network. It is an interesting
(or complementary) alternative to the regionalization approach based on geostatistical
methods that, for instance, identify the homogeneous hydrological vicinity
of each sub-basin or take into account the structuring effect of the hydrographic
network in the cartography of the flow descriptor.
Keywords
Regionalization, annual mean discharges, low flow, statistical QdF modelling.
Corresponding author
G. Galéa, Cemagref-Lyon, Unité de Recherche
Hydrologie
Hydraulique, 3bis quai Chauveau 69336 Lyon Cedex 09 France
Email :
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