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Scaling property of regional floods in New South Wales Australia

Author

Listed:
  • Elias Ishak
  • Khaled Haddad
  • Mohammad Zaman
  • Ataur Rahman

Abstract

Regional flood frequency analysis (RFFA) is often used in hydrology to estimate flood quantiles when there is a limitation of at-site recorded flood data. One of the commonly used RFFA methods is the index flood method, which is based on the assumptions that a region satisfies criterion of simple scaling and it can be treated homogeneous. Another RFFA method is quantile regression technique where prediction equations are developed for flood quantiles of interest as function of catchment characteristics. In this paper, the scaling property of regional floods in New South Wales (NSW) State in Australia is investigated. The results indicate that the annual maximum floods in NSW satisfy a simple scaling assumption. The application of a heterogeneity test, however, reveals that NSW flood data set does not satisfy the criteria for a homogeneous region. Finally, a set of prediction equations are developed for NSW using quantile regression technique; an independent test shows that these equations can provide reasonably accurate design flood estimates with a median relative error of about 27%. Copyright Springer Science+Business Media B.V. 2011

Suggested Citation

  • Elias Ishak & Khaled Haddad & Mohammad Zaman & Ataur Rahman, 2011. "Scaling property of regional floods in New South Wales Australia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 58(3), pages 1155-1167, September.
  • Handle: RePEc:spr:nathaz:v:58:y:2011:i:3:p:1155-1167
    DOI: 10.1007/s11069-011-9719-6
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    References listed on IDEAS

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    1. Jim Hall & Paul Sayers & Richard Dawson, 2005. "National-scale Assessment of Current and Future Flood Risk in England and Wales," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 36(1), pages 147-164, September.
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    Cited by:

    1. Abdullah Al Mamoon & Niels E. Joergensen & Ataur Rahman & Hassan Qasem, 2016. "Design rainfall in Qatar: sensitivity to climate change scenarios," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1797-1810, April.
    2. Wilfredo Caballero & Ataur Rahman, 2014. "Application of Monte Carlo simulation technique for flood estimation for two catchments in New South Wales, Australia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(3), pages 1475-1488, December.
    3. Jianzhu Li & Qiushuang Ma & Yu Tian & Yuming Lei & Ting Zhang & Ping Feng, 2019. "Flood scaling under nonstationarity in Daqinghe River basin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 98(2), pages 675-696, September.
    4. K. Aziz & Sohail Rai & A. Rahman, 2015. "Design flood estimation in ungauged catchments using genetic algorithm-based artificial neural network (GAANN) technique for Australia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 805-821, June.
    5. Sonali Swetapadma & C. S. P. Ojha, 2020. "Selection of a basin-scale model for flood frequency analysis in Mahanadi river basin, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(1), pages 519-552, May.
    6. Ayesha Rahman & Ataur Rahman & Mohammad Zaman & Khaled Haddad & Amimul Ahsan & Monzur Imteaz, 2013. "A study on selection of probability distributions for at-site flood frequency analysis in Australia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(3), pages 1803-1813, December.

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