Impacts of serial correlation on trends in rainfall annual maximum series data in NSW, Australia

E. Hajani, A. Rahman, E. Ishak, K. Haddad

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

Abstract

Design rainfall is used as an important input to hydrological models. Climate change and climate variability are likely to affect design rainfalls at many regions in future. In this paper, the trends of sub-hourly, sub-daily and daily extreme rainfall events from 42 rainfall stations located in New South Wales (NSW), Australia were examined. Two non-parametric tests, Mann-Kendall (MK) test and Spearman Rho (SR) test, were applied to detect trends at 1%, 5% and 10% significance levels. Pre-whitening (PW), Trend-Free Pre-whitening (TFPW) and the Variance Correction (VC) approaches were used to account for the impact of serial correlation on the both the MK and SR test results. In this study, statistically significant positive (upward) trends are more frequently observed compared with statistically significant negative (downward) trends, in particular for the short duration rainfall events. Use of PW, TFPW and VC approaches, which account for the impact of serial correlation on trend results, has resulted in a reduction in the numbers of stations exhibiting significant upward trend.
Original languageEnglish
Title of host publicationTechnical Papers in Hydrology Series No. 8: Proceedings of the 3rd International Conference on Water Resources, ICWR-2015: Sustainable Solutions to Global Change: Challenges on Water and Environmental Security, Bayview Hotel, Langkawi, Malaysia, 24-25 November 2015
PublisherUNESCO Publishing
Number of pages9
Publication statusPublished - 2015
EventInternational Conference on Water Resources -
Duration: 24 Nov 2015 → …

Publication series

Name
ISSN (Print)0082-2310

Conference

ConferenceInternational Conference on Water Resources
Period24/11/15 → …

Keywords

  • climatic changes
  • rain and rainfall
  • mathematical models

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