Monte Carlo simulation for design flood estimation: a review of Australian practice
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[1] Dennis McLaughlin,et al. Estimation of flood frequency: An evaluation of two derived distribution procedures , 1987 .
[2] Pi Hill,et al. Incompatibilities between Storm Temporal Patterns and Losses for Design Flood Estimation , 1996 .
[3] Phillip Jordan,et al. Impact of Natural Variability on Design Flood Flows and Levels , 2016 .
[4] Rory Nathan,et al. Use of Monte Carlo Simulation to Estimate the Expected Probability of Large to Extreme Floods , 2003 .
[5] Ataur Rahman,et al. Design flood estimation using Monte Carlo simulation and RORB model: stochastic nature of RORB model parameters. , 2010 .
[6] Salvatore Manfreda,et al. Runoff thresholds in derived flood frequency distributions , 2008 .
[7] Bc Phillips,et al. Embedded Design Storms - an Improved Procedure for Design Flood Level Estimation? , 1994 .
[8] Gurudeo Anand Tularam,et al. Initial loss estimates for tropical catchments of Australia , 2007 .
[9] Ataur Rahman,et al. Application of Monte Carlo Simulation Technique to Design Flood Estimation: A Case Study for North Johnstone River in Queensland, Australia , 2013, Water Resources Management.
[10] Simon Beecham,et al. Probability distributions for explaining hydrological losses in South Australian catchments , 2013 .
[11] James E Ball,et al. Variability in design flood flows from alternative rainfall temporal patterns , 2014 .
[12] Rory Nathan,et al. Analysis of loss values for Australian rural catchments to underpin ARR guidance , 2015 .
[13] Martin F. Lambert,et al. Modelling Extreme Rainfall and Tidal Anomaly , 2006 .
[14] Mark Babister,et al. Regional temporal patterns for Australia , 2016 .
[15] Federico Garavaglia,et al. The SCHADEX method: A semi-continuous rainfall–runoff simulation for extreme flood estimation , 2013 .
[16] Fiona Johnson,et al. The revised Intensity-Frequency-Duration (IFD) design rainfall estimates for Australia - an overview , 2012 .
[17] E. Todini,et al. Recent advances in flood forecasting and flood risk assessment , 2005 .
[18] R. S. Kurothe,et al. Derived flood frequency distribution for negatively correlated rainfall intensity and duration , 1997 .
[19] J Dunlop,et al. Another look. , 1987, Nursing.
[20] Paul D. Bates,et al. Probabilistic evaluation of flood hazard in urban areas using Monte Carlo simulation , 2012 .
[21] Mark Babister,et al. A Monte Carlo framework for assessment of how mitigation options affect flood hydrograph characteristics , 2016 .
[22] E. M. Laurenson. Modeling of stochastic‐deterministic hydrologic systems , 1974 .
[23] Valentín. Chapter 4. , 1998, Annals of the ICRP.
[24] Rory Nathan,et al. Sampling in time and space - inclusion of rainfall spatial patterns and tidal influences in a joint probability framework , 2012 .
[25] Wilfredo Caballero,et al. Variability in rainfall temporal patterns : a case study for New South Wales, Australia , 2013 .
[26] S Aijaz,et al. Joint probability of sea levels and rainfall at Tauranga Harbour , 2011 .
[27] Mauro Fiorentino,et al. Derived distribution of floods based on the concept of partial area coverage with a climatic appeal , 2000 .
[28] Marco Franchini,et al. Analytical derivation of the flood frequency curve through partial duration series analysis and a probabilistic representation of the runoff coefficient , 2005 .
[29] Ted Rigby,et al. The Impact of Embedded Design Storms on Flows within a Catchment , 2006 .
[30] Steven J. Burian,et al. Monte Carlo‐based flood modelling framework for estimating probability weighted flood risk , 2012 .
[31] W. Boughton,et al. Continuous simulation for design flood estimation--a review , 2003, Environ. Model. Softw..
[32] James E Ball,et al. A hydroinformatic approach to development of design temporal patterns of rainfall. , 2009 .
[33] Mahbub Ilahee,et al. Improved Continuing Losses Estimation Using Initial Loss-Continuing Loss Model for Medium Sized Rural Catchments , 2009 .
[34] Rémy Garçon,et al. Evolution de la méthode du gradex : approche par type de temps et modélisation hydrologique , 2006 .
[35] L Toombes,et al. Reconciliation of design flood estimates for the Brisbane River catchment flood study , 2015 .
[36] Khaled Haddad,et al. Application of Bayesian GLSR to estimate sub daily rainfall parameters for the IFD Revision Project , 2012 .
[37] Ataur Rahman,et al. Quantifying uncertainty in rainfall–runoff models due to design losses using Monte Carlo simulation: a case study in New South Wales, Australia , 2014, Stochastic Environmental Research and Risk Assessment.
[38] Feifei Zheng,et al. Flood risk estimation in Australia's coastal zone: Modelling the dependence between extreme rainfall and storm surge , 2014 .
[39] Giuseppe Tito Aronica,et al. Derivation of flood frequency curves in poorly gauged Mediterranean catchments using a simple stochastic hydrological rainfall-runoff model , 2007 .
[40] Surendra Shrestha,et al. Investigation of design rainfall temporal patterns in the Gold Coast region of Queensland , 2006 .
[41] Eh Rigby,et al. The Embedded Design Storm Concept - a Critical Review , 1996 .
[42] P. S. Eagleson. Dynamics of flood frequency , 1972 .
[43] Ataur Rahman,et al. Design rainfall estimation in Australia: a case study using L moments and Generalized Least Squares Regression , 2011 .
[44] Bahram Saghafian,et al. Flood frequency analysis based on simulated peak discharges , 2014, Natural Hazards.
[45] Hsieh Wen Shen,et al. PHYSICALLY BASED FLOOD FEATURES AND FREQUENCIES , 1990 .
[46] Juan B. Valdés,et al. Estimation of flood frequencies for ungaged catchments , 1993 .
[47] Alex Nazarov. The Effect of Initial Drawdown on the Risk of Exceeding the Spillway Design Floods of Two Dependent Storages , 1999 .
[48] Salvatore Manfreda,et al. Regional analysis of runoff thresholds behaviour in Southern Italy based on theoretically derived distributions , 2011 .
[49] Mark Babister,et al. Efficacy of a storm-based Monte Carlo approach in modelling flood volumes , 2016 .
[50] Jayantha Obeysekera,et al. FLOOD-FREQUENCY DERIVATION FROM KINEMATIC WAVE , 1991 .
[51] Cecilia Svensson,et al. A joint probability approach to flood frequency estimation using Monte Carlo simulation , 2009 .
[52] Khaled Haddad,et al. Regionalisation of rainfall duration in Victoria for design flood estimation using Monte Carlo Simulation , 2005 .
[53] L. Natale,et al. Monte Carlo Simulation of rainfall hyetographs for analysis and design , 2014 .
[54] Ataur Rahman,et al. Towards the application of the Joint Probability Approach to ungauged catchments : regional distribution for storm duration in Eastern Victoria , 2005 .
[55] R A Callander. ESTIMATION OF DESIGN FLOODS , 1979 .
[56] Michel Lang,et al. Introducing a rainfall compound distribution model based on weather patterns sub-sampling , 2010 .
[57] Don Carroll,et al. Investigation of sub-tropical rainfall characteristics for use in the joint probability approach to design flood estimation , 2004 .
[58] Phillip Jordan,et al. Stochastic simulation of inflow hydrographs to optimise flood mitigation benefits provided by wivenhoe and somerset dams , 2014 .
[59] D. Kavetski,et al. Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters , 2006 .
[60] Keith Beven,et al. On hydrologic similarity: 3. A dimensionless flood frequency model using a generalized geomorphologic unit hydrograph and partial area runoff generation , 1990 .
[61] Sh Muncaster,et al. RORB - Monte Carlo Applications in Metropolitan Melbourne Catchments , 2011 .
[62] Martin F. Lambert,et al. On the coincidence of extreme rainfall bursts with duration , 2011 .
[63] Erwin Jeremiah,et al. Regionalisation of rainfall statistics for the IFD Revision Project , 2012 .
[64] Rolf Weingartner,et al. Distribution of peak flow derived from a distribution of rainfall volume and runoff coefficient, and a unit hydrograph , 1998 .
[65] Ataur Rahman,et al. Monte Carlo Simulation of Flood Frequency Curves from Rainfall , 2002 .
[66] Janice Green,et al. Benchmarking estimates of Intensity-Frequency-Duration (IFD) design rainfalls for the current climate regime , 2015 .
[67] Eric F. Wood,et al. On Hydrologic Similarity: 1. Derivation of the Dimensionless Flood Frequency Curve , 1986 .
[68] Rory Nathan,et al. Joint Probability Description of Design Rainfalls , 1999 .
[69] R Ayre,et al. An efficient sampling method for fast and accurate Monte Carlo Simulations* , 2016 .
[70] Michael F. Hutchinson,et al. Very frequent design rainfalls - an enhancement to the new IFDs , 2015 .
[71] Erwin Zehe,et al. Predictability of hydrologic response at the plot and catchment scales: Role of initial conditions , 2004 .
[72] Xiaosheng Qin,et al. Joint Monte Carlo and possibilistic simulation for flood damage assessment , 2013, Stochastic Environmental Research and Risk Assessment.
[73] Marco Borga,et al. Adaptive Use of a Conceptual Model for Real Time Flood Forecasting , 1997 .
[74] Rory Nathan,et al. Application of Monte Carlo simulation to the estimation of large to extreme floods for Lake Rowallan , 2012 .
[75] T. McMahon,et al. Stochastic generation of annual, monthly and daily climate data: A review , 2001 .
[76] Janice Green,et al. Defining independence of rainfall events with a partial duration series approach , 2012 .
[77] Rory Nathan,et al. An improved framework for the characterisation of extreme floods and for the assessment of dam safety. , 2004 .
[78] I. Rodríguez‐Iturbe,et al. A geomorphoclimatic theory of the instantaneous unit hydrograph , 1982 .
[79] C. De Michele,et al. On the derived flood frequency distribution: analytical formulation and the influence of antecedent soil moisture condition , 2002 .
[80] Richard M. Vogel,et al. A derived flood frequency distribution for correlated rainfall intensity and duration. , 2000 .
[81] Ataur Rahman,et al. Monte Carlo Simulation of Flood Frequency Curves from Rainfall – The Way Ahead , 2000 .
[82] Peter A. Troch,et al. Hydrologic controls of large floods in a small basin: central Appalachian case study , 1994 .
[83] A. Loukas. Flood frequency estimation by a derived distribution procedure , 2002 .
[84] John C. Russ. Chapter 5 – Monte-Carlo Modelling , 1984 .
[85] Günter Blöschl,et al. On the role of storm duration in the mapping of rainfall to flood return periods , 2008 .
[86] Erwin Weinmann,et al. The Use of Probability-Distributed Initial Losses in Design Flood Estimation , 2002 .
[87] Janice Green,et al. Establishment of a Quality Controlled Rainfall Database for the Revision of the Intensity-frequency-duration (IFD) Estimates for Australia , 2011 .
[88] Bill Syme,et al. Brisbane River Catchment Flood Study: Comprehensive Hydraulic Assessment Overview , 2015 .
[89] R Ayre,et al. A Monte Carlo framework for the Brisbane river catchment flood study , 2014 .
[90] Rory Nathan,et al. Estimation of extreme rainfalls for Victoria using the CRC-FORGE method , 1997 .
[91] Juan B. Valdés,et al. A Physically Based Flood Frequency Distribution , 1984 .
[92] Scott Podger,et al. New design rainfalls for Australia , 2015 .
[93] Ian Brodie,et al. Rational Monte Carlo method for flood frequency analysis in urban catchments , 2013 .
[94] Mark Babister,et al. Comparison of catchment average rainfall IFD analysis to 2013 IFD and ARFs , 2015 .
[95] Don Carroll,et al. Comparative Design Flood Analysis , 2008 .
[96] Ashantha Goonetilleke,et al. Effects of non-linearity in storage-discharge relationships on design flood estimates , 2001 .
[97] Crispin Smythe,et al. A Four Storage Joint Probability Analysis on the West Coast of Tasmania , 2002 .
[98] Eric F. Wood,et al. A derived flood frequency distribution using Horton Order Ratios , 1982 .
[99] Rory Nathan,et al. Utilising the AWAP gridded rainfall dataset to enhance flood hydrology studies , 2015 .
[100] Francesco Laio,et al. An analytical model of the effects of catchment elevation on the flood frequency distribution , 2009 .
[101] Phillip Jordan,et al. Growth curves and temporal patterns of short duration design storms for extreme events , 2005 .
[102] Phillip Jordan,et al. Application of spatial and space-time patterns of design rainfall to design flood estimation , 2015 .
[103] Fln Ling,et al. Application of the Monte Carlo method to estimate warning times to critical levels in a high consequence dam , 2015 .
[104] Ted Rigby,et al. Storms, storm bursts and flood estimation: a need for review of the AR&R procedures , 2003 .
[105] Richard N. Palmer,et al. World Environmental and Water Resources Congress 2010 , 2010 .
[106] Phillip Jordan,et al. Stochastic simulation of space-time rainfall patterns for the Brisbane river catchment , 2014 .
[107] Mark Babister,et al. Monte Carlo modelling in decision making , 2015 .
[108] Michael F. Hutchinson,et al. Application of ANUSPLIN to produce new intensity-frequency-duration (IFD) index rainfalls across Australia , 2014 .
[109] Simon Gamble,et al. Application of the Focussed Rainfall Growth Estimation Technique in Tasmania , 1999 .
[110] Martin F. Lambert,et al. Incorporating seasonality into event-based joint probability methods for predicting flood frequency: A hybrid causative event approach , 2016 .
[111] Rory Nathan,et al. RORB Version 5: A Tool to Move Beyond ARR87 , 2006 .
[112] Watted,et al. Critical review of the evolution of the design storm event concept , 2013 .
[113] Feifei Zheng,et al. Developing water level maps in the joint probability zone influenced by extreme tide and rainfall events , 2015 .
[114] Wilfredo Caballero,et al. Sensitivity of the regionalised Inputs in the Monte Carlo simulation technique to design flood estimation for New South Wales , 2014 .
[115] R. Srikanthan,et al. Towards More Realistic Design Storms , 1999 .
[116] Seth Westra,et al. Investigation into the joint dependence between extreme rainfall and storm surge in the coastal zone , 2011 .
[117] Fiona Johnson,et al. Changes to the Intensity-Frequency-Duration (IFD) design rainfalls across Australia , 2014 .
[118] Rory Nathan,et al. Temporal patterns for the derivation of PMPDF and PMF estimates in the GTSM region of Australia , 2003 .
[119] Feridon Radmanesh,et al. Nonlinearity in storage- discharge relationship and its influence on flood hydrograph prediction in mountainous catchments , 2012 .
[120] C. T. Haan,et al. Another Look at the Joint Probability of Rainfall and Runoff , 1987 .
[121] Cecilia Svensson,et al. Flood frequency estimation using a joint probability approach within a Monte Carlo framework , 2013 .
[122] Feifei Zheng,et al. Quantifying the dependence between extreme rainfall and storm surge in the coastal zone , 2013 .
[123] Rory Nathan,et al. Monte Carlo Temporal Patterns for Melbourne , 2011 .
[124] Surendra Shrestha,et al. Regionalisation of intensity-frequency-duration data : a case study for New South Wales , 2011 .
[125] Rory Nathan,et al. Treatment of correlated storage drawdown and uncertainty in the flood hydrology for dams , 2006 .
[126] M. Wiel,et al. Quantifying Fluvial Non Linearity and Finding Self Organized Criticality? Insights from Simulations of River Basin Evolution , 2007 .
[127] Erwin Weinmann,et al. Development and testing of new design losses for South-Eastern Australia , 1997 .
[128] Alan Seed,et al. Modelling and forecasting rainfall in space and time , 2004 .
[129] Mark Babister,et al. Estimation of pre-burst rainfalls for design flood estimation in Australia , 2015 .
[130] Don Carroll. Enhanced Rainfall Event Generation for Monte Carlo Simulation Technique of Design Flood Estimation , 2008 .
[131] Salvatore Manfreda,et al. Peak runoff contributing area as hydrological signature of the probability distribution of floods , 2007 .
[132] J. Ball,et al. Australian Rainfall and Runoff: A Guide to Flood Estimation , 2016 .