Investigation into Probabilistic Losses for Design Flood Estimation: A Case Study for The Orara River Catchment, Nsw

References

• Ball, J. E. & Luk, K. C. 1998, “Modelling spatial variability of rainfall over a catchment”, Journal of Hydrologic Engineering, ASCE, Vol. 3, No. 2, pp. 122–130.
   Google Scholar
• Boughton, W. C. 1989, “A Review of the USDA SCS Curve Number Method”, Australian Journal of Soil Research, Vol. 27, pp. 511–523.
   Google Scholar
• Dyer, B. G., Nathan, R. J., McMahon, T. A. & O’Neill, I. C. 1994, Development of Regional Prediction Equations for the RORB Runoff Routing Model, CRC for Catchment Hydrology, Report 94/1.
   Google Scholar
• El-Kafagee, M. & Rahman, A. 2011, “A study on initial and continuing losses for design flood estimation in New South Wales”, Proceedings of MODSIM2011: 19 th International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand, Perth, pp. 3782–3787.
   Google Scholar
• Haddad, K., Rahman, A., Weinmann, P. E., Kuczera, G. & Ball, J. E. 2010, “Streamflow data preparation for regional flood frequency analysis: Lessons from south-east Australia”, Australian Journal of Water Resources, Vol. 14, No. 1, pp. 17–32.
   Google Scholar
• Hill, P. I. 2011, “Towards Improved Loss Parameters for Design Flood Estimation in Australia”, Proceedings of the 34 th IAHR World Congress, International Association for Hydro-Environment Research and Engineering, Brisbane, pp. 194–201.
   Google Scholar
• Hill, P. I., Maheepala, U. & Mein, R. G. 1996, Empirical Analysis of Data to Derive Losses: Methodology, Programs and Results, CRC for Catchment Hydrology, Working Document 96/5.
   Google Scholar
• Hill, P. I., Graszkiewicz, Z., Sih, K., Nathan, R., Loveridge, M. & Rahman, A. 2012, “Outcomes from a pilot study on modelling losses for design flood estimation”, Proceedings of the 34 th Hydrology and Water Resources Symposium, Sydney, pp. 1449–1456.
   Google Scholar
• Hill, P. I., Graszkiewicz, Z., Sih, K. & Rahman, A. 2013, Project 6: Loss Models for Catchment Simulation - Rural Catchments, report prepared by Sinclair Knight Merz for the Institution of Engineers Australia, www.ncwe.org.au/arr/comm_report.html, accessed 13 March 2013.
   Google Scholar
• Ilahee, M. 2005, “Modelling Losses in Flood Estimation”, Doctoral Dissertation, School of Urban Development, University of Queensland, Australia.
   Google Scholar
• Ilahee, M. & Imteaz, M. A. 2009, “Improved Continuing Losses Estimation Using Initial Loss-Continuing Loss Model for Medium Sized Rural Catchments”, American Journal of Engineering and Applied Sciences, Vol. 2, No. 4, pp. 796–803.
   Google Scholar
• Ilahee, M. & Rahman, A. 2003, “Investigation of Continuing Losses for Design Flood Estimation: A Case Study in Queensland”, Proceedings of the 28 th Hydrology and Water Resources Symposium, Wollongong, pp. 1.191-1.197.
   Google Scholar
• Ilahee, M., Rahman, A. & Boughton, W. C. 2001, “Probability-distributed Initial Losses for Flood Estimation in Queensland”, Proceedings of MODSIM2001: International Congress on Modelling and Simulation, Canberra, pp. 107–112.
   Google Scholar
• Ilahee, M., Rahman, A. & Boughton, W. C. 2002, “Derivation of New Design Initial Losses for Flood Estimation in Queensland”, Proceedings of the 27th Hydrology and Water Resources Symposium, Melbourne, pp. 120–127.
   Google Scholar
• Institution of Engineers Australia, 1958, First report of the Stormwater Standards Committee on Australian Rainfall and Run-off, Barton, ACT.
   Google Scholar
• Ishak, E. & Rahman, A. 2006, “Investigation into Probabilistic Nature of Continuing Loss in Four Catchments in Victoria”, Proceedings of the 30 th Hydrology and Water Resources Symposium, Launceston, pp. 432–437.
   Google Scholar
• Kuczera, G. 1999, “Comprehensive at-site flood frequency analysis using Monte Carlo Bayesian inference”, Water Resources Research, Vol. 35, No. 5, pp. 1551–1557.
   Google Scholar
• Laurenson, E. M., Mein, R. G. & Nathan, R. J. 2007, RORB - Version 6 User Manual, Department of Civil Engineering, Monash University and SKM.
   Google Scholar
• Ly, S., Charles, C. & Degré, A. 2011, “Geostatistical Interpolation of Daily Rainfall at Catchment Scale: The Use of Several Variogram Models in the Ourthe and Ambleve catchments, Belgium”, Hydrology and Earth System Sciences, Vol. 15, pp. 2259–2274.
   Google Scholar
• Mair, A. & Fares, A. 2011, “Comparison of Rainfall Interpolation Methods in a Mountainous Region of a Tropical Island”, Journal of Hydrologic Engineering, ASCE, Vol. 16, No. 4, pp. 371–383.
   Google Scholar
• Mein, R. G., Nandakumar, N. & Siriwardena, L. 1995, Estimation of Initial Loss from Soil Moisture Indices (Pilot Study), CRC for Catchment Hydrology, Working Document 95/1.
   Google Scholar
• Murphy, R., Graszkiewicz, Z., Hill, P. I., Neal, B. & Nathan, R. 2011, Project 7: Baseflow for catchment simulation, report prepared by Sinclair Knight Merz for the Institution of Engineers Australia, www.ncwe.org.au/arr/comm_report.html, accessed 12 October 2012.
   Google Scholar
• Nandakumar, N., Mein, R. G. & Siriwardena, L. 1994, Loss Modelling for Flood Estimation - A Review, CRC for Catchment Hydrology, Working Document 94/4.
   Google Scholar
• Pattison, A. (editor) 1977, Australian Rainfall and Runoff - Flood Analysis and Design, Institution of Engineers Australia, Barton, ACT.
   Google Scholar
• Pilgrim, D. H. (editor) 1987, Australian Rainfall & Runoff - A Guide to Flood Estimation, Institution of Engineers Australia, Barton, ACT.
   Google Scholar
• Pilgrim, D. H. & Robinson, D. K. 1988, “Flood Estimation in Australia - Progress to the Present, Possibilities for the Future”, Civil Engineering Transactions, Vol. CE30, pp. 187–206.
   Google Scholar
• Rahman, A., Weinmann, P. E., Hoang, T. M. T. & Laurenson, E. M. 2002a, “Monte Carlo Simulation of flood frequency curves from rainfall”, Journal of Hydrology, Vol. 256, No. 3-4, pp. 196–210.
   Google Scholar
• Rahman, A., Weinmann, E. & Mein, R. G. 2002b, “The Use of Probability-distributed Initial Losses in Design Flood Estimation”, Australian Journal of Water Resources, Vol. 6, No. 1, pp. 17–29.
   Google Scholar
• Richards, Z., Sharma, A. & Babister, M. 2012, “A methodology for incorporating orographic information in deriving intensity-frequency-duration relationships”, Proceedings of the 34 th Hydrology and Water Resources Symposium, Sydney, pp. 782–791.
   Google Scholar
• Siriwardena, L., Hill, P. I. & Mein, R. G. 1997, Investigation of a Variable Proportional Loss Model for use in Flood Estimation, CRC for Catchment Hydrology, Working Document 97/3.
   Google Scholar
• Stokes, R. A. 1989, “Calculation file for Soil Water Model - concept and theoretical basis of soil water model for the south west of Western Australia”, unpublished report, Water Authority of WA, Water Resources Directorate.
   Google Scholar
• Titmarsh, G. W., Pilgrim, D. H., Cordery, I. & Hoesein, A. A. 1989, “An Examination of Design Flood Estimation using the US Soil Conservation Services Method”, Proceedings of the 18 th Hydrology and Water Resources Symposium, Christchurch, pp. 445–454.
   Google Scholar
• Tularam, G. A. & Ilahee, M. 2007, “Initial Loss Estimates for Tropical Catchments of Australia”, Environmental Impact Assessment Review, Vol. 27, pp. 493–504.
   Google Scholar
• Water and Rivers Commission, 2003, SWMOD A rainfall loss model for calculating rainfall excess User Manual (Version 2.11), prepared by Hydrology and Water Resources Branch Resource Science Division.
   Google Scholar
• Walsh, M. A. 1991, “Initial Losses for Design Flood Estimation in New South Wales”, Masters Dissertation, School of Civil Engineering, UNSW.
   Google Scholar
• Walsh, M. A. & Pilgrim, D. H. 1993, “Re-Assessment of Some Design Parameters for Flood Estimation in New South Wales”, Proceedings of the 21 st Hydrology and Water Resources Symposium, Newcastle, pp. 251–256.
   Google Scholar
• Waugh, A. S. 1990, “Design Losses in Flood Estimation”, Masters Dissertation, UNSW.
   Google Scholar