Spatial distribution of the trends in annual maximum flood flow in North Australian river catchments

Ayesha S. Rahman, Ataur Rahman, Khaled Haddad, Elias Ishak, Evan Hajani, Orpita Urmi Laz, Fazlul Karim

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

![CDATA[Trend detection in hydrologic data has received a great attention recently as it helps explaining climate variability and change in hydrological regimes. Both climatic variability and anthropogenic changes reflected in hydrologic data, can adversely affect trend test results. Combined effects of climatic variability and anthropogenic changes are not always uniform because of the high uncertainty in both the atmospheric forcing and the hydrological processes. This paper presents results of trend analysis of annual maximum flood data from 246 river catchments across north eastern parts of Australia. Three non-parametric tests, Mann-Kendall, Pre-whitening and Trend Free Pre-whitening, were carried out to investigate the trends at 10%, 5% and 1% levels of significance. The results show that the percentage of stations showing downward trend is about 14% whereas the upward trend is about 22%. The Northern Territory stations are dominated by upward trends and the Queensland stations are dominated by downward trend. It is also found that catchment size and mean annual rainfall do not have any notable effect on trend results.]]
Original languageEnglish
Title of host publication36th Hydrology and Water Resources Symposium (HWRS 2015): The Art and Science of Water, 7-10 December 2015, Hobart, Tasmania
PublisherEngineers Australia
Pages412-419
Number of pages8
ISBN (Print)9781922107497
Publication statusPublished - 2015
EventHydrology and Water Resources Symposium -
Duration: 7 Dec 2015 → …

Conference

ConferenceHydrology and Water Resources Symposium
Period7/12/15 → …

Keywords

  • Australia, Northern
  • flood control
  • mathematical models
  • streamflow
  • watershed management

Fingerprint

Dive into the research topics of 'Spatial distribution of the trends in annual maximum flood flow in North Australian river catchments'. Together they form a unique fingerprint.

Cite this