• English
    • Norsk
  • English 
    • English
    • Norsk
  • Administration
View Item 
  •   Home
  • Det matematisk-naturvitenskapelige fakultet
  • Institutt for geofag
  • Institutt for geofag
  • View Item
  •   Home
  • Det matematisk-naturvitenskapelige fakultet
  • Institutt for geofag
  • Institutt for geofag
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Bivariate frequency analysis of flood characteristics at Glomma and Gudbrandsdalslågen

Johansen, Stian Solvang
Master thesis
View/Open
hovedoppg.pdf (1.036Mb)
Year
2004
Permanent link
http://urn.nb.no/URN:NBN:no-10143

Metadata
Show metadata
Appears in the following Collection
  • Institutt for geofag [743]
Abstract
The spring flood is a multivariate event that can be characterized by the floodcharacteristics peak discharge, duration and volume. Traditionally these flood characteristics have been modelled separately, but by modelling the

spring flood as a multivariate event, information about the joint probabilistic behaviour is obtained. In this thesis the bivariate logistic extreme value distribution with GEV margins are used to model asymptotically dependent flood characteristics, and the bivariate log normal distribution with log normal margins are used for modelling asymptotically independent flood characteristics.

A new method is made for the assessment of the duration

of the spring flood. The bivariate models and the method for assessment of duration are tested in the Glomma basin in the rivers Glomma and Gudbrandsdalslågen at stations Elverum and Losna, respectively. At Elverum the method for assessment of duration gave reasonable results, whereas at Losna the method gave poor results. For the bivarate models there were good agreement between the models and observations, and the models were found appropriate for modelling the corresponding flood characteristics.

The bivarate joint distributions of the flood characteristics

were used for constructing bivariate return periods.
 
Responsible for this website 
University of Oslo Library


Contact Us 
duo-hjelp@ub.uio.no


Privacy policy
 

 

For students / employeesSubmit master thesisAccess to restricted material

Browse

All of DUOCommunities & CollectionsBy Issue DateAuthorsTitlesThis CollectionBy Issue DateAuthorsTitles

For library staff

Login

Statistics

View Usage Statistics
RSS Feeds
 
Responsible for this website 
University of Oslo Library


Contact Us 
duo-hjelp@ub.uio.no


Privacy policy