Spatial variations in the timing of annual floods in the southeastern United States

Lecce, Scott A.

doi:10.1016/s0022-1694(00)00273-0

Cited by 56 publications

(42 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Lecce (2000)) have suggested that catchment area has a strong effect on the flood seasonality 5 (higher frequency in summer and autumn due to short duration summer storms of limited areal coverage). In Europe, this does not seem to be the case.…”

Section: Discussionmentioning

confidence: 99%

Spatial Patterns and Characteristics of Flood Seasonality in Europe

Hall¹,

Blöschl²

2017

Preprint

View full text Add to dashboard Cite

Abstract.In Europe, floods are typically analysed within national boundaries and it is not well understood how the characteristics of local floods fit into a continental perspective. To gain a better understanding at the continental-scale, this study analyses 10 give an indication of its flood characteristics throughout the year and is more relevant than catchment area and outlet elevation for the observed flood seasonality. 25Hydrol. Earth Syst. Sci. Discuss., https://doi

show abstract

Section: Discussionmentioning

confidence: 99%

Spatial Patterns and Characteristics of Flood Seasonality in Europe

Hall¹,

Blöschl²

2017

Preprint

View full text Add to dashboard Cite

show abstract

“…The procedure of the data analysis was basically aligned with the approach of Lecce (2000), but was complemented by analysis of the maximum observed floods as well as dynamic analysis of the spatial pattern of flood seasonality. Initially, AMS were extracted from the daily runoff data of each gauging station, taking into account hydrological years in Germany from 1 November to 31 October.…”

Section: Regionalisation Methodsmentioning

confidence: 99%

“…Lecce (2000) showed that the exclusion of catchment areas smaller than 100 km 2 led to an increase in spatial homogeneity of flood seasonality. Therefore, only gauging stations with a catchment area of more than 100 km 2 were considered.…”

Section: Study Area and Available Datamentioning

confidence: 99%

“…Similarity in flood seasonality is particularly used as a classification variable in many regional flood frequency analyses, or, more generally, for finding and grouping homogeneous hydrological sites in the region under study (e.g. Black, 1994;Black & Werritty, 1997;Burn, 1997;Blöschl et al, 1999;Lecce, 2000;De Michele & Rosso, 2002). Sivapalan et al (2005) point to the strong influence of flood seasonality on flood probabilities.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Lecce (2000) identifies seasonal patterns of flood events in the southeastern states of the USA by a straight statistical method: monthly frequencies of flood events, derived from annual maximum series (AMS), were classified by cluster analysis. The cartographic evaluation of the results led to spatial zones of the flood regimes.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Seasonality of floods in Germany

Beurton

Thieken

2009

Hydrological Sciences Journal

View full text Add to dashboard Cite

The seasonal distribution of annual maximum floods at 481 gauging stations throughout Germany was analysed and classified by cluster analysis. As a result, a new map with three regions that represent homogeneous flood regimes is presented: Cluster A in the western and central part of Germany with distinct winter floods; Cluster B with its centre in north and east Germany, in which the percentage of spring and summer floods is higher than in Cluster A; and a small Cluster C in southern Germany, which is dominated by summer floods. The occurrence of maximum observed flood events in three clusters corresponds well with the general seasonality of flooding. Finally, the stability of the flood regimes in different time periods was analysed, and a slight spatial extension of Cluster A towards the southeast was detected. This may hint at changes in westerly circulation patterns, but needs further investigation.Key words flood; Germany; cluster analysis; seasonality Saisonnalité des crues en AllemagneResumé La distribution saisonnière des crues maximales annuelles observées en 481 stations de mesure en Allemagne a été analysée et classifiée avec une analyse de groupe. Il en résulte une nouvelle carte avec trois régions qui présentent des régimes de crues homogènes: le groupe A à l'ouest et au centre de l'Allemagne avec des crues hivernales prononcées; un groupe B centré sur le nord et l'est de l'Allemagne, au sein duquel le pourcentage de crues de printemps et d'été est plus important que dans le groupe A; un petit groupe C dans le sud de l'Allemagne, où dominent les crues d'été. L'occurrence des crues maximales observées dans les trois groupes correspond bien à la saisonnalité générale des crues. Finalement, la stabilité du régime de crue selon les époques a été analysée, et une légère extension spatiale du groupe A vers le sud-est a été détectée. Cela peut être lié à des changements dans les schémas de circulation d'ouest, mais nécessite un approfondissement.

show abstract

The use of the exponentK(q)function to delimit homogeneous regions in regional frequency analysis of extreme annual daily rainfall

et al. 2014

View full text Add to dashboard Cite

Abstract:The regional frequency analysis of extreme annual rainfall data is a useful methodology in hydrology to obtain certain quantile values when no long data series are available. The most crucial step in the analysis is the grouping of sites into homogeneous regions. This work presents a new grouping criterion based on some multifractal properties of rainfall data. For this purpose, a regional frequency analysis of extreme annual rainfall data from the Maule Region (Chile) has been performed. Daily rainfall data series of 53 available stations have been studied, and their empirical moments scaling exponent functions K(q) have been obtained. Two characteristics parameters of the K(q) functions (γ max and K(0)) have been used to group the stations into three homogeneous regions. Only five sites have not been possible to include into any homogenous regions, being the local frequency analysis of extreme daily rainfall the most appropriate method to be used at these locations.

show abstract

Spatial variations in the timing of annual floods in the southeastern United States

Cited by 56 publications

References 17 publications

Spatial Patterns and Characteristics of Flood Seasonality in Europe

Spatial Patterns and Characteristics of Flood Seasonality in Europe

Seasonality of floods in Germany

The use of the exponentK(q)function to delimit homogeneous regions in regional frequency analysis of extreme annual daily rainfall

Contact Info

Product

Resources

About