Zobrazeno 1 - 10
of 38
pro vyhledávání: '"F. Lebdi"'
Autor:
M. Mathlouthi, F. Lebdi
Publikováno v:
Proceedings of the International Association of Hydrological Sciences, Vol 384, Pp 195-201 (2021)
Modeling of extremes dry spells in Northern Tunisia, in order to detect the severity of the phenomenon, is carried out. Dry events are considered as a sequence of dry days (below a threshold) separated by rainfall events from each other. The maximum
Externí odkaz:
https://doaj.org/article/fd0fbf6b31df443fa223ebdab1165344
Autor:
M. Mathlouthi, F. Lebdi
Publikováno v:
Proceedings of the International Association of Hydrological Sciences, Vol 383, Pp 241-248 (2020)
This paper analyses a 42 year time series of daily precipitation in Ichkeul Lake Basin (northern Tunisia) in order to predict extreme dry-spell risk. Dry events are considered as a sequence of dry days separated by rainfall events from each other. Th
Externí odkaz:
https://doaj.org/article/fbbf04c9ce734157a17310adb1ab2582
Autor:
M. Mathlouthi, F. Lebdi
Publikováno v:
Proceedings of the International Association of Hydrological Sciences, Vol 377, Pp 35-40 (2018)
The control of sedimentation in a reservoir provides a global evaluation of the process of erosion and transportation of sediment. Knowledge of sedimentation is useful for reservoir management. Bathymetric surveys can be used to assess the silting
Externí odkaz:
https://doaj.org/article/e324511369394a62b1b557a64ea0df7e
Autor:
M. Mathlouthi, F. Lebdi
Publikováno v:
Proceedings of the International Association of Hydrological Sciences, Vol 366, Pp 153-154 (2015)
No abstract available.
Externí odkaz:
https://doaj.org/article/a878f81952c641f1b95464f8ba8d2942
Akademický článek
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Publikováno v:
Biosystems Engineering. 102:334-344
A stochastic methodology, based on real-coded genetic algorithms for optimising the operation of reservoirs in an on-demand irrigation system, is presented. The methodology analyzes the adequacy of the difference between supply and demand taking into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdc1b5e75791367fa1a954a10e742cd6
https://doi.org/10.1016/j.biosystemseng.2008.12.009
https://doi.org/10.1016/j.biosystemseng.2008.12.009
Publikováno v:
Revue des sciences de l'eau. 4:543-568
L'article que nous proposons s'inscrit dans le cadre des problèmes d'optimisation bimensionnelle (irrigation & salubrité) des ressources en eau durant la période d'étiage. Sur le cas du système NESTE, la résolution est effectuée selon deux app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaf49c11604a5c77f2e73db8c0ba4942
https://doi.org/10.7202/705115ar
https://doi.org/10.7202/705115ar
Akademický článek
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Publikováno v:
Applied Mathematics and Computation. 54:197-213
The weekly operation of a water resources system under the two conflicting objectives of irrigation and water quality demand is analyzed. The real life case of the Neste river system in Southwestern France consists of mountains, reservoirs, and conve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbe322537ca3598e9fd0058a45b66b1d
https://doi.org/10.1016/0096-3003(93)90059-n
https://doi.org/10.1016/0096-3003(93)90059-n
Autor:
M.H. Louati, F. Lebdi
Publikováno v:
Coping with Drought Risk in Agriculture and Water Supply Systems ISBN: 9781402090448
A genetic algorithm model has been developed and applied to solve a planning problem of optimum allocation of water resources within a complex reservoir system. The specific conditions of the surface water resource utilization in Tunisia, exemplified
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::104c90a938244ef56e7138ff122d03cc
https://doi.org/10.1007/978-1-4020-9045-5_9
https://doi.org/10.1007/978-1-4020-9045-5_9
