Zobrazeno 1 - 10
of 56
pro vyhledávání: '"S. El Adlouni"'
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 4, Iss PB, Pp 369-385 (2015)
Study region: The study considers six precipitation stations located in Senegal, West Africa. Senegal is located in the Sahel, an area that is threatened by climate variability and change. Both droughts and extreme rainfall have been an issue in rece
Externí odkaz:
https://doaj.org/article/becf7be1ffde4485bb1ec3cbd115c4a6
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 13, Iss 12, Pp 3235-3248 (2013)
Maghreb countries are highly vulnerable to extreme hydrological events, such as floods and droughts, driven by the strong variability of precipitation. While several studies have analyzed the presence of trends in precipitation records for the Euro-M
Externí odkaz:
https://doaj.org/article/4d0419015a3d40789118bf48f391c846
Publikováno v:
Journal of Hydrology: Regional Studies
Journal of Hydrology: Regional Studies, 2015, 4, pp.369-385. ⟨10.1016/j.ejrh.2015.06.005⟩
Journal of Hydrology: Regional Studies, Elsevier, 2015, 4, pp.369-385. ⟨10.1016/j.ejrh.2015.06.005⟩
Journal of Hydrology: Regional Studies, Vol 4, Iss PB, Pp 369-385 (2015)
Journal of Hydrology: Regional Studies, 2015, 4, pp.369-385. ⟨10.1016/j.ejrh.2015.06.005⟩
Journal of Hydrology: Regional Studies, Elsevier, 2015, 4, pp.369-385. ⟨10.1016/j.ejrh.2015.06.005⟩
Journal of Hydrology: Regional Studies, Vol 4, Iss PB, Pp 369-385 (2015)
Study region : The study considers six precipitation stations located in Senegal, West Africa. Senegal is located in the Sahel, an area that is threatened by climate variability and change. Both droughts and extreme rainfall have been an issue in rec
Publikováno v:
Canadian Journal of Civil Engineering. 42:427-436
This study deals with incomplete bivariate data in hydrology, where information contained in a hydrological series of relatively long length (X, the auxiliary variable) is utilized to enhance the quality of the quantile estimates for a series of shor
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 29:13-26
Hydrological frequency analysis is the most widely used method to estimate risk for extreme values. The most used statistical distributions to fit extreme value data in hydrology can be regrouped in three classes: class C of regularly varying distrib
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Karem Chokmani, Marc Barbet, S. El. Adlouni, M. Kamali Nezhad, Taha B. M. J. Ouarda, Pierre Bruneau
Publikováno v:
Hydrological Processes. 25:1418-1430
Various regional flood frequency analysis procedures are used in hydrology to estimate hydrological variables at ungauged or partially gauged sites. Relatively few studies have been conducted to evaluate the accuracy of these procedures and estimate
Publikováno v:
Journal of Hydrologic Engineering. 15:79-89
The Halphen system and the generalized extreme-value (GEV) distributions are recommended for the estimation of the hydrological extreme events. The GEV system is widely used, whereas the Halphen distributions are less known by hydrologists. The objec
Publikováno v:
Hydrological Sciences Journal. 54:1141-1156
Resume Dans le present travail on presente le modele log-normal (LN) non-stationnaire pour l'ajustement des series dont les parametres sont fonctions de covariables. Les modeles non-stationnaires, d'une maniere generale, permettent de tenir compte de
Publikováno v:
Journal of Applied Meteorology and Climatology. 47:2745-2759
Changes in the extreme annual wind speed in and around the Gulf of St. Lawrence (Canada) were investigated through a nonstationary extreme value analysis of the annual maximum 10-m wind speed obtained from the North American Regional Reanalysis (NARR