Streamflow data Preparation for Regional Flood Frequency Analysis: Lessons from Southeast Australia

References

• Barnett, V. & Lewis, T. 1978, Outliers in Statistical Data, 3rd edition, John Wiley, Chichester, New York.
   Google Scholar
• Dymond, J. R. & Christian, R. 1982, “Accuracy of discharge determined from a rating curve”, Hydrological Sciences Journal, Vol. 27, pp. 493–504.
   Google Scholar
• Fontaine, R. A. 1986, “Comparison of two stream-discharge record reconstruction techniques for eight gauging stations in Main”, US Geological Survey Water Supply Paper 2290, pp. 107–111.
   Google Scholar
• Grubbs, F. E. & Beck, G. 1972, “Extension of sample sizes and percentage points for significance tests of outlying observations”, Technometrics, Vol. 4, No. 14, pp. 847–853.
   Google Scholar
• Griffis, V. W. & Stedinger, J. R. 2007, “The use of GLS regression in regional hydrologic analyses”, Journal of Hydrology, Vol. 344, pp. 82–95.
   Google Scholar
• Grayson, R. B., Argent, R. M., Nathan, R. J., McMahon, T. A. & Mein, R. G. 1996, Hydrological Recipes: Estimation Techniques in Australian Hydrology, Cooperative Research Centre for Catchment Hydrology, Australia, 125 pp.
   Google Scholar
• Haddad, K. & Rahman, A. 2008, “Investigation on at-site flood frequency analysis in south-east Australia”, IEM Journal, The Journal of The Institution of Engineers, Malaysia, Vol. 69, No. 3, pp. 59–64.
   Google Scholar
• Haddad, K., Rahman, A. & Weinmann, P. E. 2008a, “Streamflow data preparation for regional flood frequency analysis: Important lessons from a case study”, 31 st Hydrology and Water Resources Symp., Adelaide, 15–17 April, pp. 2558–2569.
   Google Scholar
• Haddad, K., Rahman, A. & Weinmann, P. E. 2008b, “Development of a generalised least squares based quantile regression technique for design flood estimation in Victoria”, 31 st Hydrology and Water Resources Symp., Adelaide, 15–17 April, pp. 2546–2557.
   Google Scholar
• Institution of Engineers Australia (IEAust), 1987, Australian Rainfall and Runoff: A Guide to Flood Estimation, Pilgrim, D. H. (editor), Vol. 1, Canberra.
   Google Scholar
• Interagency Advisory Committee on Water Data (IACWD), 1982, Guidelines for Determining Flood Flow Frequency, Bulletin #17B of the Hydrology Subcommittee, US Geological Survey, Reston, VA.
   Google Scholar
• Jackson, D. R. 1981, “WRC standard flood frequency guidelines”, Journal of Water Resources Planning Management, Vol. 107, pp. 211–224.
   Google Scholar
• Kendall, M. G. 1970, Rank Correlation Methods, 4th edition, Griffen, London, 202 pp.
   Google Scholar
• Kottegoda, N. T. 1984, “Investigation of outliers in annual maximum flow series”, Journal of Hydrology, Vol. 72, pp. 105–137.
   Google Scholar
• Kuczera, G. 1992, “Uncorrelated measurement error in flood frequency inference”, Water Resources Research, Vol. 28, pp. 183–189.
   Google Scholar
• Kuczera, G. 1996, “Correlated measurement error in flood frequency inference”, Water Resources Research, Vol. 32, pp. 2119–2128.
   Google Scholar
• Kuczera, G. 1999a, FLIKE HELP, Chapter 2 FLIKE Notes, School of Engineering, University of Newcastle.
   Google Scholar
• Kuczera, G. 1999b, “Comprehensive at-site flood frequency analysis using Monte Carlo Bayesian inference”, Water Resources Research, Vol. 35, No. 5, pp. 1551–1557.
   Google Scholar
• Kuczera, G. & Franks, S. 2005, “At-site flood frequency analysis”, Australian Rainfall and Runoff, Book 4, Draft Chapter 2, School of Engineering, University of Newcastle.
   Google Scholar
• Leclerc, M. & Ouarda T. B. 2007, “Non-stationary regional flood frequency analysis at ungauged sites”, Journal of Hydrology, Vol. 343, pp. 254–265.
   Google Scholar
• McGilchrist, C. A. & Woodyer, K. D. 1975, “Note on a distribution free CUSUM technique”, Technometrics, Vol. 17, No. 3, pp. 321–325.
   Google Scholar
• Ng, W. W., Panu, U. S. & Lennox, W. C. 2007, “Chaos based analytical techniques for daily extreme hydrological observations”, Journal of Hydrology, Vol. 342, pp. 17–41.
   Google Scholar
• Petrow, T. & Merz, B. 2009, “Trends in flood magnitude, frequency and seasonality in Germany in the period 1951–2002”, Journal of Hydrology, Vol. 371, pp. 129–141.
   Google Scholar
• Petersen-Overleir, A. & Reitan, T. 2009, “Accounting for rating curve imprecision in flood frequency analysis using likelihood-based methods”, Journal of Hydrology, Vol. 366, pp. 89–100.
   Google Scholar
• Pilgrim, D. H. 1987, “Estimation of peak flows for small to medium sized rural catchments”, Australian Rainfall and Runoff, Book 4, Section 1, The Institution of Engineers Australia.
   Google Scholar
• Potter, K. W. & Walker, J. F. 1981, “A model of discontinuous measurement error and its effects on the probability distribution of flood discharge measurements”, Water Resources Research, Vol. 17, 5, pp. 1505–1509.
   Google Scholar
• Rahman, A. 1997, “Flood Estimation for Ungauged Catchments: A Regional Approach Using Flood and Catchment Characteristics”, PhD thesis, Department of Civil Engineering, Monash University, 292 pp.
   Google Scholar
• Rahman, A., Haddad, K. & Weinmann, P. E. 2008, “Regional flood frequency analysis for Victorian Catchments: Sensitivity to data availability and catchment selection”, research report prepared for Department of Sustainability and Environment Victoria, School of Engineering University of Western Sydney, 34 pp.
   Google Scholar
• Rahman, A., Haddad, K., Kuczera, G. & Weinmann, P. E. 2009, “Regional flood methods for Australia: data preparation and exploratory analysis”, Australian Rainfall and Runoff Revision Projects, Project 5 Regional Flood Methods, Report No. P5/S1/003, November, Engineers Australia, Water Engineering, 181 pp.
   Google Scholar
• Reis Jr., D. S. & Stedinger, J. R. 2005, “Bayesian MCMC flood frequency analysis with historical information”, Journal of Hydrology, Vol. 313, pp. 97–116.
   Google Scholar
• Reitan, T. & Petersen-0verleir, A. 2008, “Bayesian power-law regression with a location parameter, with applications for construction of discharge rating curves”, Stochastic Environmental Risk Assessment, Vol. 22, pp. 351–365.
   Google Scholar
• Rosso, R. 1985, “A linear approach to the influence of discharge measurement error on flood estimates”, Hydrological Sciences Journal, Vol. 30, pp. 137–254.
   Google Scholar
• Shuzheng, C. & Yinbo, X. 1987, “The effect of discharge measurement error in flood frequency analysis”, Journal of Hydrology, Vol. 96, pp. 237–254.
   Google Scholar
• Stedinger, J. R. & Tasker, G. D. 1985, “Regional Hydrologic Analysis, 1. Ordinary, Weighted, and Generalised Least Squares Compared”, Water Resources Research, Vol. 2209, pp. 1421–1432.
   Google Scholar
• Stedinger, J. R., Vogel, R. M. & Foufoula-Georgiou, E. 1993, “Frequency analysis of extreme events”, Handbook of Hydrology, Chapter 18, Maidment, D. R. (editor), McGraw-Hill, New York.
   Google Scholar
• Tasker, G. D. & Stedinger, J. R. 1989, “An Operational GLS model for Hydrologic Regression”, Journal of Hydrology, Vol. 111, pp. 361–375.
   Google Scholar
• Thomas, W. O. 1985, “A uniform technique for flood frequency analysis”, Proceedings of the American Society of Civil Engineers, Journal of Water Resources Planning and Management, Vol. 111, 3, pp. 321–337.
   Google Scholar
• Venetis, C. 1970, “A note on the estimation of the parameters in a logarithmic stage-discharge relationships with estimation of their error”, Bulletin IASH, Vol. 15, pp. 105–111.
   Google Scholar
• Yevjevich, V. & Jeng, R. I. 1969, “Properties of Non-Homogenous Hydrological Time Series”, Hydrology Paper 32, Colorado State University Press, Fort Collins.
   Google Scholar