Global change: Facing Risks and Threats to Water Resources (Proc. of the Sixth World FRIEND Conference, Fez, Morocco, October 2010). IAHS Publ. 340, 2010, 61-68
Global change: Facing Risks and Threats to Water Resources (Proc. of the Sixth World FRIEND Conference, Fez, Morocco, October 2010). IAHS Publ. 340, 2010, 61-68.
Variabilité comparée du régime pluviométrique aux échelles régionale et locale sur la Haute Vallée de l’Ouémé au Bénin Emmanuel A. Lawin1,2, Abel Afouda1, Mariel Gosset2 &
Thierry Lebel2
1 Laboratoire de Modélisation et d’Hydrodynamique Appliquée (LAMHYA - Université d’Abomey-Calavi), Bénin
ewaari@yahoo.fr
2 Laboratoire d’Etude des Transferts en Hydrologie et Environnement (LTHE), Grenoble, France Résumé Deux échelles spatiales ont été considérées pour analyser la variabilité du régime pluviométrique dans la région de la Haute vallée de l’Ouémé, notamment l’échelle régionale et l’échelle locale. A ces deux échelles, une analyse du cycle saisonnier des précipitations a été faite à l’aide des données d’observations journalières directes ou des données régionalisées sur 1950–2005. L’analyse des composites sec et humide du signal pluviométrique montre que le déficit pluviométrique des années sèches est surtout marqué après le “saut de mousson ». De même, les années sèches se caractérisent par un retrait précoce de la mousson qui semble avoir débuté à partir de 1970. Par ailleurs, les années après 1970 connaissent un décalage des pics de précipitations dont la longueur dépend de l’échelle spatiale considérée; ces pics étant atteints précocement. Le retrait précoce de la mousson et le décalage des pics de précipitation mis en évidence peuvent avoir des conséquences graves sur la production agricole, notamment en ce qui concerne les rendements de certaines cultures.
Mots clés mousson; variabilité; cycle saisonnier; précipitation
Comparison of rainfall variability at regional and local scales in the Upper Valley of Ouémé in Bénin
Abstract Two spatial scales have been considered to assess the rainfall pattern variability in the region of the Ouémé Upper valley: the regional and local scales. A seasonal rainfall analysis has been made with observed or regionalized daily rainfall data for 1950–2005. Dry and humid composite analysis of the rainfall signal shows that the pluviometric shortage of dry years is amplified after the “monsoon onset”. In the same way, dry years are characterized by early monsoon withdrawal, which may have started in 1970. Furthermore, the years after 1970 show a shift lag in rainfalls. The length of these lags depends on spatial scale. The early monsoon withdrawal and the shift lag in rainfall revealed may have several consequences on agricultural production, especially on the yield of some crops.
Key words monsoon; variability; seasonal cycle; rainfall
Global change: Facing Risks and Threats to Water Resources (Proc. of the Sixth World FRIEND Conference, Fez, Morocco, October 2010). IAHS Publ. 340, 2010, 69-76.
1 IRD-UMR HydroSciences Montpellier, Université Montpellier 2, Case courrier MSE, Place Eugène Bataillon,
F-34095 Montpellier Cedex 5. France
remi.lombard-latune@ird.fr
2 Département de Géologie. Faculté des Sciences et Techniques. Université Sidi Ben Abdellah. BP 2202,
Route d’Imouzzer, Fez, Morocco Abstract In the southern Mediterranean many rivers are characterized by an alternation of long dry periods interrupted by short floods. In this context, understanding the catchment’s hydrological behaviour, especially during flood generation is essential to quantifying pollutant fluxes. This situation is observed in all the Maghreb countries, of which the famous city of Fez is a perfect illustration. The hydrological behaviour of Oued Fez was assessed through a coupled approach based on field observations and modelling. The analysis of rainfall–runoff events showed that flood generation is mostly caused by urban runoff over the large impervious zones of the city of Fez. A mathematical model based on the unit hydrograph method was used to synthesize the hydrological behaviour of Oued Fez. The model’s two parameters were estimated by trial and error. The results indicated that a single set of parameters can accurately reproduce most of the observed flood events.
Key words rainfall–runoff; intermittent rivers; Nash cascade; Oued Fez; Morocco
Global change: Facing Risks and Threats to Water Resources (Proc. of the Sixth World FRIEND Conference, Fez, Morocco, October 2010). IAHS Publ. 340, 2010, 77-85.
Drought assessment using local and large-scale forcing data in small catchments MARJOLEIN H. J. VAN HUIJGEVOORT1, ANNE F. VAN LOON1,
OLDŘICH RAKOVEC1,2, INGJERD HADDELAND3, STANISLAV HORÁČEK2 & HENNY A. J. VAN LANEN1
1 Hydrology and Quantitative Water Management Group, Centre for Water and Climate, Wageningen University,
PO Box 47, 6700 AA, Wageningen, the Netherlands
marjolein.vanhuijgevoort@wur.nl
2 TG Masaryk Water Research Institute, Podbabská 30, CZ-160 62, Prague 6, Czech Republic
3 Norwegian Water Resources and Energy Directorate, PO Box 509, Maj, N-0301 Oslo, Norway Abstract Drought is a natural hazard that occurs all over the world with significant impacts. For drought analysis, long time series of hydrometeorological variables are required. In many catchments around the world, insufficient hydrometeorological observations are available. Recently, global gridded re analysis meteorological datasets with coarse spatial resolutions (0.5º × 0.5º) became available. In this study, the potential use of a large-scale dataset at catchment scale was investigated by comparison of drought characteristics. A conceptual, hydrological model was forced with local and large-scale data to simulate time series of discharge, from which hydrological droughts were identified. The study was carried out in two contrasting catchments: Narsjø (Norway) and Upper-Metuje (Czech Republic). Similar results were obtained from drought analysis using either local or large-scale data. This holds for several drought characteristics. These results are encouraging for use of large-scale forcing data for drought research in small catchments with no, or limited observations.