Application of Monte Carlo Simulation Technique to Design Flood Estimation: A Case Study for North Johnstone River in Queensland, Australia

2013 ◽  
Vol 27 (11) ◽  
pp. 4099-4111 ◽  
Author(s):  
James Charalambous ◽  
Ataur Rahman ◽  
Don Carroll
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Simulation Technique ◽  
Design Flood ◽  
Monte Carlo Simulation Technique ◽  
Flood Estimation

Application of the URBS-Monte Carlo Simulation Technique to Urban Catchments: A Case Study for the Coomera River Catchment in Gold Coast Australia

2007 ◽  
Vol 2 (2) ◽  
Author(s):  
Ataur Rahman ◽  
Don Carroll ◽  
Parvez Mahbub ◽  
Sayed Khan ◽  
Khondker Rahman
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Flood Frequency ◽  
Simulation Technique ◽  
Gold Coast ◽  
Design Flood ◽  
River Catchment ◽  
Monte Carlo Simulation Technique ◽  
Urban Catchments ◽  
The Impact

In recent years in Australia, there has been significant research and interest in the development and application of a more holistic approach of design flood estimation such as the Monte Carlo Simulation Technique. The advantage of the Monte Carlo Simulation Technique is that this considers the probabilistic nature of the model input variables in explicit manner as opposed to the Design Event Approach. This paper presents the application of the Monte Carlo Simulation Technique to the Coomera River Catchment in the Gold Coast region Australia. This identifies the probability distributions of rainfall duration, rainfall intensity, rainfall temporal pattern and initial loss from the observed pluviograph and streamflow data in the catchment and applies URBS model to simulate ten thousand streamflow hydrographs to determine derived flood frequency curve for the catchment. It has been found that the URBS-Monte Carlo Simulation Technique (UMCST) provides a robust means for providing a range of inflows to hydraulic/floodplain models to assess the impact of ‘100 year’ storms on the floodplain. Further it is noted that the UMCST technique provides design peak flow rates similar to the Design Event Approach using the temporal patterns derived from the local pluviograph stations.

Influence of the Back-Jump Correlations on the Fermi-Dirac Statistics

1991 ◽  
Vol 02 (01) ◽  
pp. 227-231
Author(s):  
T. BARSZCZAK ◽  
R. KUTNER
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Simulation Technique ◽  
Monte Carlo Simulation Technique

The influence of the essential Bardeen-Herring back-jump correlations on the Fermi-Dirac statistics is studied by the Monte Carlo simulation technique and semi-analytically.

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