Flood‐type classification in mountainous catchments using crisp and fuzzy decision trees

Sikorska, Anna; Viviroli, Daniel; Seibert, Jan

doi:10.1002/2015wr017326

Cited by 106 publications

(160 citation statements)

References 78 publications

Supporting

Mentioning

138

Contrasting

Order By: Relevance

“…Merz and Blöschl (2003) classified flood events across Austria based on climate inputs (rainfall, snowmelt) and basin states (soil moisture, snow cover). Sikorska et al (2015) classified flood events in mountainous Swiss catchments using characteristics of precipitation and catchment states, such as catchment wetness, snow cover and glacier cover. Turkington et al (2016) classified synthetic flood events generated through application of a weather generator together with a hydrological model by using a cluster analysis technique on a set 25 of meteorological indices derived from the generated synthetic weather for two Alpine catchments in France and Austria.…”

Section: Introductionmentioning

confidence: 99%

Flood type classification and assessment of their past changes across Europe

Hundecha

Parajka

Viglione

2017

Preprint

View full text Add to dashboard Cite

Abstract. This study was carried out to establish the characteristics of observed flood events across Europe in the past in terms of their spatial extent and the processes leading up to the events. Daily discharge data from more than 745 stations of 10 the Global Runoff Data Centre were used to identify peak flows at each station for the period 1961-2010. The identified events at the different stations were further analysed to determine whether they form the same flood event, thereby delineating the spatial extent of the flood events. A pan-European hydrological model was employed to estimate a set of catchment hydrological and hydro-meteorological state variables that are relevant in the flood generation process for each of the identified spatially delineated flood events. A subsequent clustering of the events based on the simulated state variables 15 was used to identify the flood generation mechanism of each flood event. Four general flood generation mechanisms were identified: long-rain flood, short-rain flood, snowmelt flood, and rain-on-snow flood. A trend analysis was performed to investigate how the frequency of each of the flood types has changed in time over the investigation period. In order to investigate whether there is a regional and seasonal pattern in the dominant flood generating mechanisms, this analysis was performed separately for winter and summer seasons and five different regions of Europe: Northern, Western, Eastern, 20Southern Europe, and the Alps. Continentally, the total number of flood events didn't show a significant change. However, the frequency of winter long rain events increased significantly while that of summer rain-on-snow events decreased significantly over the investigation period. Regional differences were detected in the dominant flood generating mechanism and the corresponding trends. In Western Europe, the frequency of both winter and summer rainfall events increased significantly. In Northern and Eastern Europe, the frequency of summer rain-on-snow events decreased significantly. In 25 addition, winter short rainfall events increased significantly in Eastern Europe. In the Alps, the frequency of summer short rain events increased significantly.Hydrol. Earth Syst. Sci. Discuss., https://doi

show abstract

Section: Introductionmentioning

confidence: 99%

Flood type classification and assessment of their past changes across Europe

Hundecha

Parajka

Viglione

2017

Preprint

View full text Add to dashboard Cite

show abstract

“…Rainfall-runoff modeling implicitly creates spatial dependence between flows at different locations (Neal et al, 2013). However, the use of 30 a rainfall-runoff model compared to a statistical analysis of flow records, introduces additional sources of uncertainties such as model and parameter uncertainty of the hydrological model (Sikorska et al, 2015). Focusing on flood event data avoids complexity and reduces the number of uncertainty sources .…”

Section: Discussionmentioning

confidence: 99%

Modeling the spatial dependence of floods using the Fisher copula

Brunner¹,

Furrer²,

Favre³

2018

Preprint

View full text Add to dashboard Cite

Abstract. Floods do often not only affect a single location but a whole region. Flood frequency analysis should therefore be undertaken at a regional scale which requires the considerations of the dependence of events at different locations. This dependence is often neglected even though its consideration is essential to derive reliable flood estimates. A model used in regional multivariate frequency analysis should ideally consider the dependence of events at multiple sites which might show dependence in the lower and/or upper tail of the distribution. We here seek at proposing a simple model that on the one hand 5 considers this dependence with respect to the network structure of the region and on the other hand, allows for the simulation of stochastic event sets at both gauged and ungauged locations. The new Fisher copula model is used for representing the spatial dependence of flood events in the nested Thur catchment in Switzerland. Flood event samples generated for the gauged stations using the Fisher copula are compared to samples generated by other dependence models allowing for modeling multivariate data including elliptical copulas, R-vine copulas, and max-stable models. The comparison of the dependence structures of 10 the generated samples shows that the Fisher copula is a suitable model for capturing the spatial dependence in the data. We therefore use the copula in a way such that it can be used in an interpolation context to simulate event sets comprising gauged and ungauged locations. The spatial event sets generated using the Fisher copula well capture the general dependence structure in the data and the upper tail dependence, which is of particular interest when looking at extreme flood events and when extrapolating to higher return periods. The Fisher copula is therefore a suitable model for the stochastic simulation of flood 15 event sets at multiple gauged and ungauged locations.

show abstract

“…This is also the case when using the clustering approach proposed in this study and the assignment of a catchment to one group or another is not necessarily straightforward. Similarly, Sikorska et al [2015] showed that flood events usually show partial memberships to more than one flood type. The clustering approach based on functional data proposed here could be transferred into a fuzzy setting [Rao and Srinivas, 2006;Tokushige et al, 2007;Sikorska et al, 2015] that would allow for catchments and hydrograph shapes with partial or distributed memberships to more than one region or event type.…”

Section: Use Of Reactivity Regions In Design Hydrograph Constructionmentioning

confidence: 96%

“…All rights reserved. previously developed classification schemes correspond to flash floods [Merz and Blöschl, 2003;Diezig and Weingartner, 2007;Sikorska et al, 2015]. They are characterized by rather high peak discharges and low hydrograph volumes.…”

Section: Identification Of Representative Hydrograph Shapesmentioning

confidence: 99%

Identification of Flood Reactivity Regions via the Functional Clustering of Hydrographs

Brunner

Viviroli

Furrer

et al. 2018

Water Resources Research

Self Cite

View full text Add to dashboard Cite

Flood hydrograph shapes contain valuable information on the flood‐generation mechanisms of a catchment. To make good use of this information, we express flood hydrograph shapes as continuous functions using a functional data approach. We propose a clustering approach based on functional data for flood hydrograph shapes to identify a set of representative hydrograph shapes on a catchment scale and use these catchment‐specific sets of representative hydrographs to establish regions of catchments with similar flood reactivity on a regional scale. We applied this approach to flood samples of 163 medium‐size Swiss catchments. The results indicate that three representative hydrograph shapes sufficiently describe the hydrograph shape variability within a catchment and therefore can be used as a proxy for the flood behavior of a catchment. These catchment‐specific sets of three hydrographs were used to group the catchments into three reactivity regions of similar flood behavior. These regions were not only characterized by similar hydrograph shapes and reactivity but also by event magnitudes and triggering event conditions. We envision these regions to be useful in regionalization studies, regional flood frequency analyses, and to allow for the construction of synthetic design hydrographs in ungauged catchments. The clustering approach based on functional data which establish these regions is very flexible and has the potential to be extended to other geographical regions or toward the use in climate impact studies.

show abstract

Flood‐type classification in mountainous catchments using crisp and fuzzy decision trees

Cited by 106 publications

References 78 publications

Flood type classification and assessment of their past changes across Europe

Flood type classification and assessment of their past changes across Europe

Modeling the spatial dependence of floods using the Fisher copula

Identification of Flood Reactivity Regions via the Functional Clustering of Hydrographs

Contact Info

Product

Resources

About