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Please enter recipient e-mail address es. The paper provides also a discussion of the various hydrological variables treated with regional estimation methodologies, comparative studies of these methodologies, and practical tools that were developed for regional frequency analysis.
Hydrologie fréquentielle : une science prédictive
Write a review Rate this item: Historical data are generally imprecise, and their inaccuracy should be properly accounted for in the analysis. Don’t have an account? Please choose whether or not you want other users to be able to see on your profile that this library is a favorite of yours. frequenitelle
Unfortunately, for some of the most common 3-parameter distributions used in hydrology, the maximum drequentielle method poses numerical problems. You may send this item to up to five recipients. The E-mail Address es you entered is are not in a valid format. Please enter your name. You already recently rated this item.
Reviews User-contributed reviews Add a review and share your thoughts with other readers. Revue des sciences de l’eau 21, n frequnetielle 2 Such information can be retrieved from archives, newspapers, interviews with local residents, or by use of paleohydrologic and dendohydrologic traces.
This publication is the documented results of a workshop, Modeling and administration of rising Environmental concerns, held at Penn country college. Because historical floods by definition are large, their introduction in a flood frequency analysis can have a major impact on estimates of rare floods. These regionalization approaches aim to estimate different characteristics of the extreme hydrological phenomena of interest, make different assumptions and hypotheses concerning these hydrological phenomena, rely on various types of data, and often fall under completely different theories.
Maximum likelihood estimators based on partially censored data have been shown to be much more efficient and to provide a practical framework for incorporating imprecise and categorical data. Add a review and share your thoughts with other readers. hydrologiw
Synthse Ajustement dune loi statistique en hydrologie Choix de la variable tudier: Presses polytechniques et universitaires romandes, The present paper aims to review and classify recent developments in regional frequency analysis of extreme hydrological variables. Similar Items Related Subjects: Your request to send this item has been completed.
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Record. Utilisation de l’information historique en anal – Revue des sciences de l’eau – Érudit
Please create a new list with a new name; move some items to a new or existing list; or delete some items. Cancel Forgot your password? The E-mail message field is required. Several studies have emphasized the potential gain in estimation accuracy with the use of historical information.
It is hoped that this document will contribute towards closing the gap between theory and practice, by narrowing the wide body of literature that is available, and by providing comprehensive propositions for regional frequency analysis approaches that meet the new challenges facing hydrologic engineers.
Hydorlogie is further assumed that a period of systematic gauging is available.
Books reviews : Hydrologie fréquentielle, une science prédictive, by P. Meylan
The E-mail Address es field is required. Citations are based on reference standards. The basic hypothesis in the statistical modeling of historical information is that a certain perception water level exists and that during a given historical period preceding the period of gauging, hyrdologie exceedances of this level have been recorded, be it in newpapers, in people’s memory, or trough traces in the catchment such as sediment deposits or traces on trees.
Advanced Search Find a Library. Adequate estimation of extreme hydrological variables is essential for the rational design and operation of a variety of hydraulic structures, due to the significant risk that is associated with these activities. La recherche de El Adlouni et al.
Hydrologie fréquentielle : une science prédictive (Book, ) 
Various statistical techniques for incorporating historical information into frequency analyses are discussed in this review paper. Local frequency analysis is commonly used for the estimation of frequenteille hydrological events at sites where an adequate amount of data is available. However, even with substantial uncertainty in the data, the use of historical information is a viable means to improve estimates of rare floods.
The specific objectives of the paper are to: The specific requirements or preferences of your reviewing publisher, classroom teacher, institution or organization should be applied.