Documents disponibles écrits par cet auteur

Data management of extreme marine and coastal hydro-meteorological events / Pieter H. A. J. M. Van Gelder in Journal of hydraulic research, Vol. 46 extra issue (Mars/Avril 2008) 

Public ISBD [article]  in Journal of hydraulic research > Vol. 46 extra issue (Mars/Avril 2008) . - pp. 191-210 Titre : Data management of extreme marine and coastal hydro-meteorological events Titre original : Gestion de données des événements hydrauliques-météorologiques Type de document : texte imprimé Auteurs : Pieter H. A. J. M. Van Gelder, Auteur ; Cong V. Mai, Auteur ; Wen Wang, Auteur Article en page(s) : pp. 191-210 Note générale : Hydraulique Résumé en Français Langues : Anglais (eng) Mots-clés : Data  screening  Extreme  value  analysis  Long-memory  study  Seasonality  analysis  Steadiness  test  Trend  analysis Index. décimale : 627 Ingénierie des cours d'eau naturels, des ports, des rades et des cotes. Installations de navigation, de dragage, de récupération et de sauvetage. Barrages et centrales électriques hydrauliques Résumé : In statistical extreme value analysis and forecast modeling, data screening and management are necessary steps before fitting a probability distribution to represent adequately the observed data. These methods include trend analysis, steadiness tests, seasonality analysis, and long-memory studies; are critically reviewed and applied to coastal datasets. It was shown that the smaller the timescale of the coastal process, the more likely it tends to be non-stationary. The seasonal variations in the autocorrelation structures are present for all the deseasonalized daily, 1/3-monthly and monthly coastal processes. The investigation of the long-memory phenomenon of coastal processes at different timescales shows that, with the increase of timescale, the intensity of long-memory decreases. Only the daily water level series exhibit a strong long-memory. Comparing the stationary test results and the long-memory test results, these two types of tests are more or less linked, not only in that the test results have similar timescale patterns, but also in that there is a general tendency that the stronger the nonstationarity, the more intense the long-memory. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com [article] Data management of extreme marine and coastal hydro-meteorological events = Gestion de données des événements hydrauliques-météorologiques [texte imprimé] / Pieter H. A. J. M. Van Gelder, Auteur ; Cong V. Mai, Auteur ; Wen Wang, Auteur . - pp. 191-210. Hydraulique Résumé en Français Langues : Anglais (eng) in Journal of hydraulic research > Vol. 46 extra issue (Mars/Avril 2008) . - pp. 191-210 Mots-clés : Data  screening  Extreme  value  analysis  Long-memory  study  Seasonality  analysis  Steadiness  test  Trend  analysis Index. décimale : 627 Ingénierie des cours d'eau naturels, des ports, des rades et des cotes. Installations de navigation, de dragage, de récupération et de sauvetage. Barrages et centrales électriques hydrauliques Résumé : In statistical extreme value analysis and forecast modeling, data screening and management are necessary steps before fitting a probability distribution to represent adequately the observed data. These methods include trend analysis, steadiness tests, seasonality analysis, and long-memory studies; are critically reviewed and applied to coastal datasets. It was shown that the smaller the timescale of the coastal process, the more likely it tends to be non-stationary. The seasonal variations in the autocorrelation structures are present for all the deseasonalized daily, 1/3-monthly and monthly coastal processes. The investigation of the long-memory phenomenon of coastal processes at different timescales shows that, with the increase of timescale, the intensity of long-memory decreases. Only the daily water level series exhibit a strong long-memory. Comparing the stationary test results and the long-memory test results, these two types of tests are more or less linked, not only in that the test results have similar timescale patterns, but also in that there is a general tendency that the stronger the nonstationarity, the more intense the long-memory. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com

Distribution functions of extreme sea waves and river discharges / Pieter H.A.J.M. Van Gelder in Journal of hydraulic research, Vol. 46 extra issue (Mars/Avril 2008) 

Public ISBD [article]  in Journal of hydraulic research > Vol. 46 extra issue (Mars/Avril 2008) . - pp. 280-291 Titre : Distribution functions of extreme sea waves and river discharges Titre original : Fonctions de distribution des vagues de mer et des décharges de rivières extrêmes Type de document : texte imprimé Auteurs : Pieter H.A.J.M. Van Gelder, Auteur ; Cong V. Mai, Auteur Article en page(s) : pp. 280-291 Note générale : Hydraulique Résumé en Français Langues : Anglais (eng) Mots-clés : Extreme  values  Goodness  of  fit  Homogeneity  L-moments  Maximum  wave  height  Probability  distribution  Robust  statistics  Wind  setup Index. décimale : 627 Ingénierie des cours d'eau naturels, des ports, des rades et des cotes. Installations de navigation, de dragage, de récupération et de sauvetage. Barrages et centrales électriques hydrauliques Résumé : Some of the important elements to be considered by the designer in the field of water defenses and hydraulic structures include the determination of the maximum environmental loads such as maximum wave height, maximum water level and maximum river discharge at locations of interest. These maxima can be estimated by various statistical methods based on observations. The main point of interest is the behaviour of each method for predicting these extrema and its deviation from the true value. An overview of statistical methods is given to determine the extreme values of river and sea related variables. The method of Regional Frequency Analysis (RFA) is proposed to predict the occurrence probabilities of these extrema. The RFA intends to extend the dataset by pooling the data of neighboring locations and establishes the regional growth curve of a so-called “homogenous region”. An important aspect is the formation of the homogeneous regions because only for those regions data can be pooled. Statistical methods will also be presented to derive homogeneous clusters. Applications include the prediction of extreme river discharges in Northwest and Central Europe and extreme waves along the Dutch North Sea coasts. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com [article] Distribution functions of extreme sea waves and river discharges = Fonctions de distribution des vagues de mer et des décharges de rivières extrêmes [texte imprimé] / Pieter H.A.J.M. Van Gelder, Auteur ; Cong V. Mai, Auteur . - pp. 280-291. Hydraulique Résumé en Français Langues : Anglais (eng) in Journal of hydraulic research > Vol. 46 extra issue (Mars/Avril 2008) . - pp. 280-291 Mots-clés : Extreme  values  Goodness  of  fit  Homogeneity  L-moments  Maximum  wave  height  Probability  distribution  Robust  statistics  Wind  setup Index. décimale : 627 Ingénierie des cours d'eau naturels, des ports, des rades et des cotes. Installations de navigation, de dragage, de récupération et de sauvetage. Barrages et centrales électriques hydrauliques Résumé : Some of the important elements to be considered by the designer in the field of water defenses and hydraulic structures include the determination of the maximum environmental loads such as maximum wave height, maximum water level and maximum river discharge at locations of interest. These maxima can be estimated by various statistical methods based on observations. The main point of interest is the behaviour of each method for predicting these extrema and its deviation from the true value. An overview of statistical methods is given to determine the extreme values of river and sea related variables. The method of Regional Frequency Analysis (RFA) is proposed to predict the occurrence probabilities of these extrema. The RFA intends to extend the dataset by pooling the data of neighboring locations and establishes the regional growth curve of a so-called “homogenous region”. An important aspect is the formation of the homogeneous regions because only for those regions data can be pooled. Statistical methods will also be presented to derive homogeneous clusters. Applications include the prediction of extreme river discharges in Northwest and Central Europe and extreme waves along the Dutch North Sea coasts. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com