Generation of Spatially Heterogeneous Flood Events in an Alpine Region—Adaptation and Application of a Multivariate Modelling Procedure

Flooding often has a negative impact on society. In particular, widespread flood events can cause a lot of damage. These events are often spatially and temporally heterogeneous and should be duly considered for an appropriate analysis of flooding. Therefore, a conditional multivariate approach is ad...

Full description

Bibliographic Details
Main Authors: Klaus Schneeberger, Thomas Steinberger
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Hydrology
Subjects:
Online Access:http://www.mdpi.com/2306-5338/5/1/5
id doaj-37b851cef3a84aa7b1919cfee9f806c5
record_format Article
spelling doaj-37b851cef3a84aa7b1919cfee9f806c52020-11-24T21:48:02ZengMDPI AGHydrology2306-53382018-01-0151510.3390/hydrology5010005hydrology5010005Generation of Spatially Heterogeneous Flood Events in an Alpine Region—Adaptation and Application of a Multivariate Modelling ProcedureKlaus Schneeberger0Thomas Steinberger1alpS—Centre for Climate Change Adaptation, Grabenweg 68, 6020 Innsbruck, AustriaPPE Research Centre, Hochschulstrasse 1, 6850 Dornbirn, AustriaFlooding often has a negative impact on society. In particular, widespread flood events can cause a lot of damage. These events are often spatially and temporally heterogeneous and should be duly considered for an appropriate analysis of flooding. Therefore, a conditional multivariate approach is adapted and applied in order to (i) contribute to a better understanding of the spatial characteristics of fluvial floods and (ii) to deliver sets of synthetically generated flood events. The present paper focuses on a simulation procedure consisting of careful data preparation and selection and the application of a conditional multivariate approach. The conditional approach is adapted to account for the seasonality of runoff data. Model checks attuned to the model are presented to ensure the consistence of simulated and observed data. The Austrian Province Vorarlberg was chosen as the study area. A thorough data analysis of runoff time series showed that the hydrological behaviour is characterized by a strong seasonality that was considered within the applied modelling procedure. The analysis of the spatial dependence of high river flows identified regions where floods likely occur simultaneously and regions with low spatial dependence. The main result of the modelling procedure, a large set of widespread flood events, was successfully generated.http://www.mdpi.com/2306-5338/5/1/5spatially heterogeneous flood eventsmultivariate modelling procedureseasonality of runoffHeffernan and Tawn model
collection DOAJ
language English
format Article
sources DOAJ
author Klaus Schneeberger
Thomas Steinberger
spellingShingle Klaus Schneeberger
Thomas Steinberger
Generation of Spatially Heterogeneous Flood Events in an Alpine Region—Adaptation and Application of a Multivariate Modelling Procedure
Hydrology
spatially heterogeneous flood events
multivariate modelling procedure
seasonality of runoff
Heffernan and Tawn model
author_facet Klaus Schneeberger
Thomas Steinberger
author_sort Klaus Schneeberger
title Generation of Spatially Heterogeneous Flood Events in an Alpine Region—Adaptation and Application of a Multivariate Modelling Procedure
title_short Generation of Spatially Heterogeneous Flood Events in an Alpine Region—Adaptation and Application of a Multivariate Modelling Procedure
title_full Generation of Spatially Heterogeneous Flood Events in an Alpine Region—Adaptation and Application of a Multivariate Modelling Procedure
title_fullStr Generation of Spatially Heterogeneous Flood Events in an Alpine Region—Adaptation and Application of a Multivariate Modelling Procedure
title_full_unstemmed Generation of Spatially Heterogeneous Flood Events in an Alpine Region—Adaptation and Application of a Multivariate Modelling Procedure
title_sort generation of spatially heterogeneous flood events in an alpine region—adaptation and application of a multivariate modelling procedure
publisher MDPI AG
series Hydrology
issn 2306-5338
publishDate 2018-01-01
description Flooding often has a negative impact on society. In particular, widespread flood events can cause a lot of damage. These events are often spatially and temporally heterogeneous and should be duly considered for an appropriate analysis of flooding. Therefore, a conditional multivariate approach is adapted and applied in order to (i) contribute to a better understanding of the spatial characteristics of fluvial floods and (ii) to deliver sets of synthetically generated flood events. The present paper focuses on a simulation procedure consisting of careful data preparation and selection and the application of a conditional multivariate approach. The conditional approach is adapted to account for the seasonality of runoff data. Model checks attuned to the model are presented to ensure the consistence of simulated and observed data. The Austrian Province Vorarlberg was chosen as the study area. A thorough data analysis of runoff time series showed that the hydrological behaviour is characterized by a strong seasonality that was considered within the applied modelling procedure. The analysis of the spatial dependence of high river flows identified regions where floods likely occur simultaneously and regions with low spatial dependence. The main result of the modelling procedure, a large set of widespread flood events, was successfully generated.
topic spatially heterogeneous flood events
multivariate modelling procedure
seasonality of runoff
Heffernan and Tawn model
url http://www.mdpi.com/2306-5338/5/1/5
work_keys_str_mv AT klausschneeberger generationofspatiallyheterogeneousfloodeventsinanalpineregionadaptationandapplicationofamultivariatemodellingprocedure
AT thomassteinberger generationofspatiallyheterogeneousfloodeventsinanalpineregionadaptationandapplicationofamultivariatemodellingprocedure
_version_ 1725893868654690304