CARACTERISATION DE LA PLUVIOMETRIE DU BASSIN VERSANT DE L'OUEME AU BENIN : ETABLISSEMENT DES COURBES INTENSITE-DUREE-FREQUENCE DES PRECIPITATIONS

Обложка

Цитировать

Полный текст

Аннотация

The present work has for objective the survey of the features of the rainfall observed on the Oueme's basin and the establishment of the Intensity-Duration-Frequency curves (IDF) of the precipitations very used in the conception of the hydraulic works and Civil Engineering. The extreme annual daily rainfalls of 37 rainfall stations of Benin installed on the Oueme's basin have been analyzed on the period 1971- 2010. Then, they have been adjusted to an extreme value law selected among the laws of Jenkinson and Gumbel according to the Kolmogorov-Smirnov test. These tests permitted to regionalize the laws of adjustment in distinct two zones of application: the law of Jenkinson appears more adequate to the zone South while the law of Gumbel suits the North zone of Benin better; what makes notice the non consistency of the exclusive use of the law of Gumbel at the time of the studies of conception of hydraulic works on the whole territory. The evaluation of the quantiles relative of daily rain to the period's back 2, 5, 10, 20, 50 and 100 years revealed that the maximal heights of water of rare frequency are observed at the Cotonou-Airport station on the Coastline and the maximal heights of water weakest in Ina's region to the North of Benin. The determination of the influence zones, climatic exponents of every station and the quantiles of maxim daily rains permitted to define the heights of rain of short lengths to act as basis to the establishment of the curves local IDF by means of the models of Montana, Talbot and Keifer -Chu. In conclusion; the model of Talbot, having a stronger physical and probabilistic basis than the classic Montana formula used for the modeling of the IDF curves, is more adequate.

Список литературы

  1. Afouda,A., Lawin, A. E., Lebel, T. (2011). Analyse de la variabilite du Regime pluviometrique dans la region agricole d'Ina au Benin. European Journal of Scientific Research, ISSN 1450-216X, vol.50 No.3, pp.425-439
  2. Aka, A. A., Servat, E., Paturel, J. E., Kouame, B., Lubes, H. & Masson, J. M. (1996). Analysis of the temporal variability of runoff in Ivory Coast: statistical approach and phenom- ena characterization. Hydrol. Sci J. 41(6), 959-970.
  3. Bacharou T., Adjiboicha M., Adjovi E., Houinou G., Orlova E., (2013) Estimation des pluies exceptionnelles journalieres en zone tropicale: cas du bassin versant de l'Oueme au Benin par comparaison des lois de Jenkinson et de Gumbel; Experimental research. Structural Mechanics of Engineering Construction and Buildings, n°4. p. 63-71
  4. Bouaichi, I., Touaibia, B., Dernouni, F., (2006). Approche methodologique de calcul du debit pluvial en cas d'insuffisance de donnees. cas de la region de Tipaza, Algerie. Pro- ceedings of the AMHY-FRIEND International Workshop on Hydrological Extremes, Univer- sity of Calabria, Cosenza (Italy), May 3-4.
  5. Brunet-Moret, Y. (1967). Etude des averses exceptionnelles en Afrique Occidentale. Publications ORSTOM-CIEH, 15 p.
  6. Dagnellie, P., (1992). Statistique theorique et appliquee. Tome 1, Presses agronomiques de Gembloux, Belgique.
  7. Guo, A., (1990). A discussion on unbiased plotting positions for the extreme value distribution. Journal of Hydrology, 121(1-4), 33-44.
  8. Hache, M., Perreault, L., Remillard, L. & Bobee, B. (1999). Une approche pour la selection des distributions statistiques: application au bassin hydrographique du Saguenay-Lac St-Jean. Rev. Can. Genie Civ. 26(2), 216-225.
  9. Hosking, J. R. M., Wallis, J. R., Wood, E.F., (1985). Estimation of the generalized ex- treme-value distribution by the method of probability-weighted moments. Technometrics, 27:251-261, 1985.
  10. Koutsoyiannis, D. (2004). Statistics of extremes and estimation of extreme rainfall: I. Theoretical investigation. Hydrol. Sci. J. 49(4), 575-590.
  11. Koutsoyiannis, D., (2004). Statistics of extremes and estimation of extreme rainfall: II. Empirical investigation of long rainfall records. Hydrol. Sci. J. 49(4), 591-610.
  12. Lubes, H., Masson, J.M., (1991). Methode des moments de probabilite ponderes : Application a la loi de Jenkisson. Hydrol. continent., ml. 6, n° 1 : 67-84
  13. Mohymont, B., Demaree, G.R., (2006). Courbes intensite-duree-frequence des precipitations de Yangambi, Congo, au moyen de differants modeles de types Montana. Hydrol. Sci. J., 51(2).
  14. Mounis, H., Mansongi, M., (1974). Note provisoire sur les pluies exceptionnelles de faible duree en Afrique Occidentale et Centrale. CIEH, 8p.
  15. Puech, C. & Chabi-Gonni, D. (1984). Courbes hauteur de pluie-duree-frequence en Afrique de l'Ouest pour des pluies de duree 5 mn a 24 heures. Serie hydrologique (CIEH) Janvier.

© Строительная механика инженерных конструкций и сооружений, 2016



Данный сайт использует cookie-файлы

Продолжая использовать наш сайт, вы даете согласие на обработку файлов cookie, которые обеспечивают правильную работу сайта.

О куки-файлах