Abstract
Flood frequency analyses are usually based on the assumption of stationarity, which might be unrealistic if changes in climate, land uses or urbanisation impact the study catchment. Moreover, most non-stationarity studies only focus on peak flows, ignoring other flood characteristics. In this study, the potential effect of increasing urbanisation on the bivariate relationship of peak flows and volumes is investigated in a case study in the northwest of England, consisting of an increasingly urbanised catchment and a nearby hydrologically and climatologically similar unchanged rural (control) catchment. The study is performed via Kendall’s tau and copulas. Temporal trends are studied visually and by formal tests, considering variables individually and jointly. Bivariate joint return period curves associated with consecutive time periods are compared to understand the joint implications of such bivariate trends. Although no significant bivariate trends were detected, hydrologically relevant trends were found in the urbanised catchment.
Original language | English |
---|---|
Pages (from-to) | 802-821 |
Journal | Hydrology Research |
Volume | 48 |
Issue number | 3 |
Early online date | 1 Jul 2016 |
DOIs | |
Publication status | Published - 30 Jun 2017 |
Keywords
- flood
Fingerprint
Dive into the research topics of 'A bivariate trend analysis to investigate the effect of increasing urbanisation on flood characteristics'. Together they form a unique fingerprint.Profiles
-
Thomas Kjeldsen
- Department of Architecture & Civil Engineering - Reader
- Water Innovation and Research Centre (WIRC)
- EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)
- Institute for Mathematical Innovation (IMI)
- Centre for Regenerative Design & Engineering for a Net Positive World (RENEW)
- Centre for Climate Adaptation & Environment Research (CAER)
Person: Research & Teaching, Core staff, Affiliate staff