Dépouillements

Extreme values for coastal, estuarine, and riverine environments / Agustin Sanchez-Arcilla 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. 183-190 Titre : Extreme values for coastal, estuarine, and riverine environments Titre original : Valeurs extrêmes dans les environments côtières, estuariens et fluviales Type de document : texte imprimé Auteurs : Agustin Sanchez-Arcilla, Auteur ; Daniel Gonzalez-Marco, Auteur ; Neelke Doorn, Auteur Article en page(s) : pp. 183-190 Note générale : Hydraulique Résumé en Français Langues : Anglais (eng) Mots-clés : Coastal  engineering  Data  analysis  Estuary  Extremes  Probability  Riverine  Statistics 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 : The increasing pressures associated to the development of coastal zones and near river courses have enhanced the sensitivity of these areas to natural processes such as flooding or erosion. The characterization of the associated drivers and responses, particularly under extreme conditions, has become an acute need for managing those areas and the risks for uses and resources there located. This paper summarizes the work done within Task 2 of the EU Integrated Research Project FLOODsite in the extreme distribution functions related to flood and erosion hazards. A wide range of models, parameters and fitting techniques were applied to a variety of geographic and climatic environments. The emphasis focused on selecting models and techniques based on a parsimony principle, to propose robust extrapolations of characteristic variables for a reliable flood hazard assessment. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com [article] Extreme values for coastal, estuarine, and riverine environments = Valeurs extrêmes dans les environments côtières, estuariens et fluviales [texte imprimé] / Agustin Sanchez-Arcilla, Auteur ; Daniel Gonzalez-Marco, Auteur ; Neelke Doorn, Auteur . - pp. 183-190. Hydraulique Résumé en Français Langues : Anglais (eng) in Journal of hydraulic research > Vol. 46 extra issue (Mars/Avril 2008) . - pp. 183-190 Mots-clés : Coastal  engineering  Data  analysis  Estuary  Extremes  Probability  Riverine  Statistics 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 : The increasing pressures associated to the development of coastal zones and near river courses have enhanced the sensitivity of these areas to natural processes such as flooding or erosion. The characterization of the associated drivers and responses, particularly under extreme conditions, has become an acute need for managing those areas and the risks for uses and resources there located. This paper summarizes the work done within Task 2 of the EU Integrated Research Project FLOODsite in the extreme distribution functions related to flood and erosion hazards. A wide range of models, parameters and fitting techniques were applied to a variety of geographic and climatic environments. The emphasis focused on selecting models and techniques based on a parsimony principle, to propose robust extrapolations of characteristic variables for a reliable flood hazard assessment. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com

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

Estimation of extremes: conventional versus Bayesian techniques / Panagiota Galiatsatou 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. 211-223 Titre : Estimation of extremes: conventional versus Bayesian techniques Titre original : Estimation des extrêmes: techniques conventionnelles contre Bayesiènnes Type de document : texte imprimé Auteurs : Panagiota Galiatsatou, Auteur ; Panagiotis Prinos, Auteur ; Agustin Sanchez-Arcilla, Auteur Article en page(s) : pp. 211-223 Note générale : Hydraulique Résumé en Français Langues : Anglais (eng) Mots-clés : Bayesian  technique  Log-transformed  surge  data  ML  estimators  Near  flat  distribution  Neighborhood  information  Parameter  uncertainty 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 : The Bayesian and Maximum Likelihood (ML) estimators of surges at two stations of the Dutch coast on the North Sea are compared herein. The ML approach is commonly used, while the Bayesian approach allows both for a parameter uncertainty and a randomness inclusion in future observations. In the Bayesian framework, two different ways of constructing prior distributions are examined, namely the near flat distributions for model parameters and the incorporation of information from neighborhood sites of that under consideration through the distribution of quantile differences. The Bayesian framework offers substantial advantages to analyze the extreme values in both cases. The analysis is also performed using log-transformed surge data. This selection is proven to be advantageous for naturally bounded variables and to better capture the “relative” character of extremes. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com [article] Estimation of extremes: conventional versus Bayesian techniques = Estimation des extrêmes: techniques conventionnelles contre Bayesiènnes [texte imprimé] / Panagiota Galiatsatou, Auteur ; Panagiotis Prinos, Auteur ; Agustin Sanchez-Arcilla, Auteur . - pp. 211-223. Hydraulique Résumé en Français Langues : Anglais (eng) in Journal of hydraulic research > Vol. 46 extra issue (Mars/Avril 2008) . - pp. 211-223 Mots-clés : Bayesian  technique  Log-transformed  surge  data  ML  estimators  Near  flat  distribution  Neighborhood  information  Parameter  uncertainty 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 : The Bayesian and Maximum Likelihood (ML) estimators of surges at two stations of the Dutch coast on the North Sea are compared herein. The ML approach is commonly used, while the Bayesian approach allows both for a parameter uncertainty and a randomness inclusion in future observations. In the Bayesian framework, two different ways of constructing prior distributions are examined, namely the near flat distributions for model parameters and the incorporation of information from neighborhood sites of that under consideration through the distribution of quantile differences. The Bayesian framework offers substantial advantages to analyze the extreme values in both cases. The analysis is also performed using log-transformed surge data. This selection is proven to be advantageous for naturally bounded variables and to better capture the “relative” character of extremes. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com

Extremes for scarce data: the role of Bayesian and scaling techniques in reducing uncertainty / Agustin Sanchez-Arcilla 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. 224-234 Titre : Extremes for scarce data: the role of Bayesian and scaling techniques in reducing uncertainty Titre original : Extremes à partir des samples limitées: techniques Bayesiennes et de changement d'échelles pour reduire les incertitudes Type de document : texte imprimé Auteurs : Agustin Sanchez-Arcilla, Auteur ; Jesus Gomez Aguar, Auteur ; Juan Jose Egozcue, Auteur Article en page(s) : pp. 224-234 Note générale : Hydraulique Résumé en Français Langues : Anglais (eng) Mots-clés : Extremes  Scaling  Selection  Threshold  Wave 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 : This paper deals with the analysis of extreme wave heights and their uncertainties. The main purpose is to assess confidence intervals using a conventional extreme value, and a Bayesian approach. It is shown how the introduction of an a priori information helps to bound the upper confidence limit. The analysis is performed with wave-height data recorded off the Spanish Catalan coast (NW Mediterranean) and wave-height data from the Dutch coast (North Sea). An analysis with natural-scale and log-transformed wave-height time series has been performed. This scale selection is proven to be advantageous for naturally bounded variables and also better captures some distribution features. The paper ends with a discussion on how the different techniques can be used to select a statistically robust threshold for an extreme event definition. This affects the evaluation of risk in low-lying coastal areas, associated to variables controlling flooding and erosion risks. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com [article] Extremes for scarce data: the role of Bayesian and scaling techniques in reducing uncertainty = Extremes à partir des samples limitées: techniques Bayesiennes et de changement d'échelles pour reduire les incertitudes [texte imprimé] / Agustin Sanchez-Arcilla, Auteur ; Jesus Gomez Aguar, Auteur ; Juan Jose Egozcue, Auteur . - pp. 224-234. Hydraulique Résumé en Français Langues : Anglais (eng) in Journal of hydraulic research > Vol. 46 extra issue (Mars/Avril 2008) . - pp. 224-234 Mots-clés : Extremes  Scaling  Selection  Threshold  Wave 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 : This paper deals with the analysis of extreme wave heights and their uncertainties. The main purpose is to assess confidence intervals using a conventional extreme value, and a Bayesian approach. It is shown how the introduction of an a priori information helps to bound the upper confidence limit. The analysis is performed with wave-height data recorded off the Spanish Catalan coast (NW Mediterranean) and wave-height data from the Dutch coast (North Sea). An analysis with natural-scale and log-transformed wave-height time series has been performed. This scale selection is proven to be advantageous for naturally bounded variables and also better captures some distribution features. The paper ends with a discussion on how the different techniques can be used to select a statistically robust threshold for an extreme event definition. This affects the evaluation of risk in low-lying coastal areas, associated to variables controlling flooding and erosion risks. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com

Extreme water levels of the Vistula River and Gdansk harbour / Dominic E. Reeve 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. 235-245 Titre : Extreme water levels of the Vistula River and Gdansk harbour Titre original : Les niveaux d'eau extrêmes de la rivière Vistule et du port de Gdansk Type de document : texte imprimé Auteurs : Dominic E. Reeve, Auteur ; Grzegorz Rozynski, Auteur ; Ying Li, Auteur Article en page(s) : pp. 235-245 Note générale : Hydraulique Résumé en Français Langues : Anglais (eng) Mots-clés : Bootstrap  resampling  Canonical  correlation  analysis  Extremes  Flooding  Risk  Water  level 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 : Using Canonical Correlation Analysis (CCA), Rozynski et al. (2006) have demonstrated that there is a weak correlation between the water levels of Vistula River and Gdansk Harbour. Herein the CCA analysis serves as a first step for a univariate bootstrap resampling technique, applied to investigate coincident extreme water levels of Vistula River and Gdansk Harbour. The CCA-derived assumption of statistical independence is argued as being a suitable working approximation for (outline) engineering design. This allows the goodness-of-fit of different statistical models to be assessed in a quantitative manner with a bootstrap method. This also provides a convenient means of defining extreme levels together with their confidence intervals. The analysis with two statistical methods provides insight into the character of joint coastal extremes in an estuary of a large north European river.The rationale and methodology are at least partly applicable to similar estuaries of northern Europe. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com [article] Extreme water levels of the Vistula River and Gdansk harbour = Les niveaux d'eau extrêmes de la rivière Vistule et du port de Gdansk [texte imprimé] / Dominic E. Reeve, Auteur ; Grzegorz Rozynski, Auteur ; Ying Li, Auteur . - pp. 235-245. Hydraulique Résumé en Français Langues : Anglais (eng) in Journal of hydraulic research > Vol. 46 extra issue (Mars/Avril 2008) . - pp. 235-245 Mots-clés : Bootstrap  resampling  Canonical  correlation  analysis  Extremes  Flooding  Risk  Water  level 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 : Using Canonical Correlation Analysis (CCA), Rozynski et al. (2006) have demonstrated that there is a weak correlation between the water levels of Vistula River and Gdansk Harbour. Herein the CCA analysis serves as a first step for a univariate bootstrap resampling technique, applied to investigate coincident extreme water levels of Vistula River and Gdansk Harbour. The CCA-derived assumption of statistical independence is argued as being a suitable working approximation for (outline) engineering design. This allows the goodness-of-fit of different statistical models to be assessed in a quantitative manner with a bootstrap method. This also provides a convenient means of defining extreme levels together with their confidence intervals. The analysis with two statistical methods provides insight into the character of joint coastal extremes in an estuary of a large north European river.The rationale and methodology are at least partly applicable to similar estuaries of northern Europe. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com

Joint probability analysis for estimation extremes / Peter J. Hawks 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. 246-256 Titre : Joint probability analysis for estimation extremes Titre original : Analyse probabilités conjointes pour une évaluation des extrêmes Type de document : texte imprimé Auteurs : Peter J. Hawks, Auteur Article en page(s) : pp. 246-256 Note générale : Hydraulique Résumé en Français Langues : Anglais (eng) Mots-clés : Coast  Dependence  Extremes  Flood  risk  Joint  probability  River 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 : Conditions required to cause flooding often involve more than one source variable such as large waves combined with a high sea level causing coastal flooding, or high river flow combined with a high sea level causing river flooding. In order to estimate the probability of flooding, one needs to know not only the high and extreme values of each variable, but also their likelihood of occurring simultaneously. This work summarises the terminology and the types of method available for joint probability analysis, and discusses the issues associated with data selection and event definition. It then describes the development and testing of methods for incorporation of temporal dependence into an approach involving Monte Carlo simulation. An illustration study shows the effect of introducing firstly short-term clustering, then seasonality and long-term trend. Three further case studies are used to illustrate some key points in the appropriate use and interpretation of joint probability methods. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com [article] Joint probability analysis for estimation extremes = Analyse probabilités conjointes pour une évaluation des extrêmes [texte imprimé] / Peter J. Hawks, Auteur . - pp. 246-256. Hydraulique Résumé en Français Langues : Anglais (eng) in Journal of hydraulic research > Vol. 46 extra issue (Mars/Avril 2008) . - pp. 246-256 Mots-clés : Coast  Dependence  Extremes  Flood  risk  Joint  probability  River 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 : Conditions required to cause flooding often involve more than one source variable such as large waves combined with a high sea level causing coastal flooding, or high river flow combined with a high sea level causing river flooding. In order to estimate the probability of flooding, one needs to know not only the high and extreme values of each variable, but also their likelihood of occurring simultaneously. This work summarises the terminology and the types of method available for joint probability analysis, and discusses the issues associated with data selection and event definition. It then describes the development and testing of methods for incorporation of temporal dependence into an approach involving Monte Carlo simulation. An illustration study shows the effect of introducing firstly short-term clustering, then seasonality and long-term trend. Three further case studies are used to illustrate some key points in the appropriate use and interpretation of joint probability methods. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com

Statistical models for bivariate extremal analysis of a spatial process / Panagiota Galiatsatou 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. 257-270 Titre : Statistical models for bivariate extremal analysis of a spatial process Titre original : Modèles statistiques pour l'analyse extremal bivariate d'un processus spatial Type de document : texte imprimé Auteurs : Panagiota Galiatsatou, Auteur ; Panagiotis Prinos, Auteur Article en page(s) : pp. 257-270 Note générale : Hydraulique Résumé en Français Langues : Anglais (eng) Mots-clés : Bivariate  extreme  value  models  Coefficient  of  tail  dependence  Dependence  measures  Joint  probability  Point  process  Spatial  process  Threshold  exceedance 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 the present paper different dependence measures are examined to investigate the structure of a spatial process of storm surges in the Dutch part of the North Sea. Four different dependence measures are implemented to the data: (1) the correlation coefficient as well as the Spearman (rank) correlation of the sample, (2) the transformation of the variables to determine the marginal distributions, (3) the dependence measures (χ,-) and (4) the coefficient of tail dependence η. Two different approaches for modelling the threshold exceedances are examined, namely the implementation of bivariate extreme value models and the use of more general point process characterizations of extremal dependence. The strength of dependence appears to vary with the location as well as with the separation distance. It is also observed that the point process approach estimates are in general lower than those using the bivariate threshold exceedance models. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com [article] Statistical models for bivariate extremal analysis of a spatial process = Modèles statistiques pour l'analyse extremal bivariate d'un processus spatial [texte imprimé] / Panagiota Galiatsatou, Auteur ; Panagiotis Prinos, Auteur . - pp. 257-270. Hydraulique Résumé en Français Langues : Anglais (eng) in Journal of hydraulic research > Vol. 46 extra issue (Mars/Avril 2008) . - pp. 257-270 Mots-clés : Bivariate  extreme  value  models  Coefficient  of  tail  dependence  Dependence  measures  Joint  probability  Point  process  Spatial  process  Threshold  exceedance 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 the present paper different dependence measures are examined to investigate the structure of a spatial process of storm surges in the Dutch part of the North Sea. Four different dependence measures are implemented to the data: (1) the correlation coefficient as well as the Spearman (rank) correlation of the sample, (2) the transformation of the variables to determine the marginal distributions, (3) the dependence measures (χ,-) and (4) the coefficient of tail dependence η. Two different approaches for modelling the threshold exceedances are examined, namely the implementation of bivariate extreme value models and the use of more general point process characterizations of extremal dependence. The strength of dependence appears to vary with the location as well as with the separation distance. It is also observed that the point process approach estimates are in general lower than those using the bivariate threshold exceedance models. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com

Singular spectrum analysis of storm surges and wave climates / Ricardo Briganti 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. 271-279 Titre : Singular spectrum analysis of storm surges and wave climates Titre original : Analyse spectral singulière d'ondes de tempêtes et de climats de vagues Type de document : texte imprimé Auteurs : Ricardo Briganti, Auteur ; Gian Maria Beltrami, Auteur Article en page(s) : pp. 271-279 Note générale : Hydraulique Résumé en Français Langues : Anglais (eng) Mots-clés : Adriatic  sea  Normal  mode  Sea  level  Seiche  Singular  spectrum  analysis  Time  series  analysis  Wind  waves  climate 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 : The Singular Spectrum Analysis (SSA) was used to investigate different time scales within recordings of interest in coastal flooding research. The analysis was in particular applied to sea-level and wind wave measurements. Short time series of sea-level data collected during storm surge events by gauges located on offshore platforms in the Adriatic Sea were considered to demonstrate the actual efficiency of SSA in separating different components of recorded sea-level oscillation, and in detecting its main modal frequencies. This analysis also allowed for an investigation on energy decay of seiches, due, in particular, to the excitation of the first gravitational normal mode of the Adriatic Sea.Wind waves measurements were further used to test a simple procedure to apply SSA to records in presence of gaps. The procedure is shown to be effective, and it does not significantly affect the detection of the underlying annual cycle present in the data. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com [article] Singular spectrum analysis of storm surges and wave climates = Analyse spectral singulière d'ondes de tempêtes et de climats de vagues [texte imprimé] / Ricardo Briganti, Auteur ; Gian Maria Beltrami, Auteur . - pp. 271-279. Hydraulique Résumé en Français Langues : Anglais (eng) in Journal of hydraulic research > Vol. 46 extra issue (Mars/Avril 2008) . - pp. 271-279 Mots-clés : Adriatic  sea  Normal  mode  Sea  level  Seiche  Singular  spectrum  analysis  Time  series  analysis  Wind  waves  climate 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 : The Singular Spectrum Analysis (SSA) was used to investigate different time scales within recordings of interest in coastal flooding research. The analysis was in particular applied to sea-level and wind wave measurements. Short time series of sea-level data collected during storm surge events by gauges located on offshore platforms in the Adriatic Sea were considered to demonstrate the actual efficiency of SSA in separating different components of recorded sea-level oscillation, and in detecting its main modal frequencies. This analysis also allowed for an investigation on energy decay of seiches, due, in particular, to the excitation of the first gravitational normal mode of the Adriatic Sea.Wind waves measurements were further used to test a simple procedure to apply SSA to records in presence of gaps. The procedure is shown to be effective, and it does not significantly affect the detection of the underlying annual cycle present in the data. 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

Implications of extreme waves and water levels in the southern Baltic Sea / Hans Hanson 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. 292-302 Titre : Implications of extreme waves and water levels in the southern Baltic Sea Titre original : Implications des vagues extrêmes et des niveaux d'eau en mer baltique méridionale Type de document : texte imprimé Auteurs : Hans Hanson, Auteur ; Magnus Larson, Auteur Article en page(s) : pp. 292-302 Note générale : Hydraulique Résumé en Français Langues : Anglais (eng) Mots-clés : Baltic  sea  Climate  change  Erosion  Extreme  waves  Flooding  Statistical  analysis  Strom  surge 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 : Several coastal areas in the south of Sweden are subjected to flooding and erosion. Such events depend on the magnitude and frequency of water levels and wave heights as well as their joint occurrence. Long time series of climate data from the south coast of Sweden were employed to investigate the statistical properties of extreme events in terms of the waves and water level changes. Through the combined analyses of waves and water levels the probability of extreme events occurring in the southern Baltic Sea was assessed. The study also established relevant probability distributions to characterize such extreme events as a basis of various risk assessments related to the impact on the coastal areas of large storms. Furthermore, an attemptwas made to estimate the conditions after climate change. Based on available forecasts and scenarios of future climate change the corresponding probability distributions were determined. The study suggests that a run-up level, with a 100-year return period from today, in the year 2100 may occur up to thirteen times more frequently. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com [article] Implications of extreme waves and water levels in the southern Baltic Sea = Implications des vagues extrêmes et des niveaux d'eau en mer baltique méridionale [texte imprimé] / Hans Hanson, Auteur ; Magnus Larson, Auteur . - pp. 292-302. Hydraulique Résumé en Français Langues : Anglais (eng) in Journal of hydraulic research > Vol. 46 extra issue (Mars/Avril 2008) . - pp. 292-302 Mots-clés : Baltic  sea  Climate  change  Erosion  Extreme  waves  Flooding  Statistical  analysis  Strom  surge 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 : Several coastal areas in the south of Sweden are subjected to flooding and erosion. Such events depend on the magnitude and frequency of water levels and wave heights as well as their joint occurrence. Long time series of climate data from the south coast of Sweden were employed to investigate the statistical properties of extreme events in terms of the waves and water level changes. Through the combined analyses of waves and water levels the probability of extreme events occurring in the southern Baltic Sea was assessed. The study also established relevant probability distributions to characterize such extreme events as a basis of various risk assessments related to the impact on the coastal areas of large storms. Furthermore, an attemptwas made to estimate the conditions after climate change. Based on available forecasts and scenarios of future climate change the corresponding probability distributions were determined. The study suggests that a run-up level, with a 100-year return period from today, in the year 2100 may occur up to thirteen times more frequently. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com

Implications of nearshore processes on the significant wave height probability distribution / Daniel Gonzalez-Marco 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. 303-313 Titre : Implications of nearshore processes on the significant wave height probability distribution Titre original : Les implications des processus côtiers sur la distribution probabiliste des vagues Type de document : texte imprimé Auteurs : Daniel Gonzalez-Marco, Auteur ; Rodolfo Bolanos, Auteur ; Jose Maria Alsina, Auteur Article en page(s) : pp. 303-313 Note générale : Hydraulique Résumé en Français Langues : Anglais (eng) Mots-clés : Nearshore  processes  Probability  distribution  function  Significant  wave  height  Weibull  distribution  Weibull  parameters 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 : This paper analyzes the effect of hydrodynamic processes associated with the beach morphology on the long-term distribution of waves. This is made using the three parameter Weibull Probability Distribution Function for the significant wave height. The analysis shows the evolution of the Weibull position (A), scale (B) and shape (C) parameters at the three main scales of interest for engineering and coastal management applications. These are the plan (offshore) scale, the profile (surf) scale, and the swash (beach face) scale. Implications regarding processes, morphology, and numerical modeling were also analyzed and discussed. This paper illustrates how the probability distribution function of waves in the near shore zone is controlled by hydro-morphodynamic processes. The results lead to different probabilities and therefore risks for erosion or flooding, which have significant implications for coastal management decisions. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com [article] Implications of nearshore processes on the significant wave height probability distribution = Les implications des processus côtiers sur la distribution probabiliste des vagues [texte imprimé] / Daniel Gonzalez-Marco, Auteur ; Rodolfo Bolanos, Auteur ; Jose Maria Alsina, Auteur . - pp. 303-313. Hydraulique Résumé en Français Langues : Anglais (eng) in Journal of hydraulic research > Vol. 46 extra issue (Mars/Avril 2008) . - pp. 303-313 Mots-clés : Nearshore  processes  Probability  distribution  function  Significant  wave  height  Weibull  distribution  Weibull  parameters 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 : This paper analyzes the effect of hydrodynamic processes associated with the beach morphology on the long-term distribution of waves. This is made using the three parameter Weibull Probability Distribution Function for the significant wave height. The analysis shows the evolution of the Weibull position (A), scale (B) and shape (C) parameters at the three main scales of interest for engineering and coastal management applications. These are the plan (offshore) scale, the profile (surf) scale, and the swash (beach face) scale. Implications regarding processes, morphology, and numerical modeling were also analyzed and discussed. This paper illustrates how the probability distribution function of waves in the near shore zone is controlled by hydro-morphodynamic processes. The results lead to different probabilities and therefore risks for erosion or flooding, which have significant implications for coastal management decisions. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com

Application of statistical methods for the prediction of extreme wave events / Barbara Paplinska-Swerpel 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.314-323 Titre : Application of statistical methods for the prediction of extreme wave events Titre original : Application de méthodes statistiques à la prédiction d'événements de mer extrêmes Type de document : texte imprimé Auteurs : Barbara Paplinska-Swerpel, Auteur ; Lukasz Paszke, Auteur ; Wojciech Sulisz, Auteur Article en page(s) : pp.314-323 Note générale : Hydraulique Résumé en Français Langues : Anglais (eng) Mots-clés : Extreme  sea  states  forecast  Neural  networks  Sea  waves  Sea  waves  modeling 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 : A statistically-based model is applied to forecast sea states for severe storms. The model is based on the application of a neural network and predicts extreme sea state parameters at specified locations. The results show that the neural network can be applied to forecast extreme sea state parameters. This requires a special treatment of the input data. The analysis shows that different types of input data and training data sets should be considered and the representativity of the training data set must be improved. Moreover, a sensitivity analysis should be conducted to remove excess information from the input data. The processing of data sets significantly reduces the number of parameters applied in the model and improves the prediction for most severe storms. The analysis indicates that this neural network model may be helpful in the selection of a measurement system for the forecasting of extreme sea state parameters. This is important because typical installations of wave buoys along the coast have a limited forecasting applicability range. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com [article] Application of statistical methods for the prediction of extreme wave events = Application de méthodes statistiques à la prédiction d'événements de mer extrêmes [texte imprimé] / Barbara Paplinska-Swerpel, Auteur ; Lukasz Paszke, Auteur ; Wojciech Sulisz, Auteur . - pp.314-323. Hydraulique Résumé en Français Langues : Anglais (eng) in Journal of hydraulic research > Vol. 46 extra issue (Mars/Avril 2008) . - pp.314-323 Mots-clés : Extreme  sea  states  forecast  Neural  networks  Sea  waves  Sea  waves  modeling 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 : A statistically-based model is applied to forecast sea states for severe storms. The model is based on the application of a neural network and predicts extreme sea state parameters at specified locations. The results show that the neural network can be applied to forecast extreme sea state parameters. This requires a special treatment of the input data. The analysis shows that different types of input data and training data sets should be considered and the representativity of the training data set must be improved. Moreover, a sensitivity analysis should be conducted to remove excess information from the input data. The processing of data sets significantly reduces the number of parameters applied in the model and improves the prediction for most severe storms. The analysis indicates that this neural network model may be helpful in the selection of a measurement system for the forecasting of extreme sea state parameters. This is important because typical installations of wave buoys along the coast have a limited forecasting applicability range. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com

Best practice for the estimation of extremes: a review / Peter J. Hawkes 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. 324-332 Titre : Best practice for the estimation of extremes: a review Titre original : Revue des meilleures pratiques pour l'évaluation des extrêmes Type de document : texte imprimé Auteurs : Peter J. Hawkes, Auteur Article en page(s) : pp. 324-332 Note générale : Hydraulique Résumé en Français Langues : Anglais (eng) Mots-clés : Coast  Extreme  Flood  risk  Joint  probability  Probability  distribution  River 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 : Task 2: Estimation of Extremes of the European Union research project FLOODsite was dedicated to analysing single and joint probability extremes in river, coastal and estuarine environments. It considers the sources of risk, such as river flow and level, wave height, period and direction, and sea level. Herein the work done within Task 2 is reviewed. Several statistical models and various fitting techniques are described. Planning an appropriate extremes analysis involves an understanding of the problem to be addressed, selection and preparation of source data, selection of methods for analysis and parameter fitting, and use of the derived extremes to address the problem. The applications described illustrate some of the pitfalls and difficulties associated with extreme predictions, particularly for the case of more than one variable. Understanding the assumptions and interpreting the obtained results are important for extreme analysis. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com [article] Best practice for the estimation of extremes: a review = Revue des meilleures pratiques pour l'évaluation des extrêmes [texte imprimé] / Peter J. Hawkes, Auteur . - pp. 324-332. Hydraulique Résumé en Français Langues : Anglais (eng) in Journal of hydraulic research > Vol. 46 extra issue (Mars/Avril 2008) . - pp. 324-332 Mots-clés : Coast  Extreme  Flood  risk  Joint  probability  Probability  distribution  River 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 : Task 2: Estimation of Extremes of the European Union research project FLOODsite was dedicated to analysing single and joint probability extremes in river, coastal and estuarine environments. It considers the sources of risk, such as river flow and level, wave height, period and direction, and sea level. Herein the work done within Task 2 is reviewed. Several statistical models and various fitting techniques are described. Planning an appropriate extremes analysis involves an understanding of the problem to be addressed, selection and preparation of source data, selection of methods for analysis and parameter fitting, and use of the derived extremes to address the problem. The applications described illustrate some of the pitfalls and difficulties associated with extreme predictions, particularly for the case of more than one variable. Understanding the assumptions and interpreting the obtained results are important for extreme analysis. DEWEY : 627 ISSN : 0022-1686 En ligne : http://www.journalhydraulicresearch.com

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