Monte Carlo simulation for design flood estimation: a review of Australian practice

2018 ◽  
Vol 22 (1) ◽  
pp. 52-70 ◽  
Author(s):  
Melanie Loveridge ◽  
Ataur Rahman
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Design Flood ◽  
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.

scholarly journals Applicability of a physically based soil water model (SWMOD) in design flood estimation in eastern Australia

2016 ◽  
Vol 48 (6) ◽  
pp. 1652-1665 ◽  
Author(s):  
Melanie Loveridge ◽  
Ataur Rahman ◽  
Peter Hill
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Soil Water ◽  
Flood Frequency Analysis ◽  
Simulation Framework ◽  
Design Flood ◽  
Quasi Monte Carlo ◽  
Eastern Australia ◽  
Physically Based ◽  
Loss Models

Abstract Event-based rainfall–runoff models are useful tools for hydrologic design. Of the many loss models, the ‘initial loss-continuing loss’ model is widely adopted in practice. Some of the key limitations with these types of loss models include the arbitrary selection of initial moisture (IM) conditions and lack of physically meaningful parameters. This paper investigates the applicability of a physically based soil water balance model (SWMOD) with distributed IM conditions for flood modelling. Four catchments from the east coast of New South Wales, Australia, are modelled. The IM content in SWMOD represents the antecedent moisture condition. A quasi-Monte Carlo simulation framework is adopted, where the IM is stochastically varied according to a lognormal probability distribution. In calibration, it is found that the adopted modelling framework is able to simulate the majority of the observed flood hydrographs with a higher degree of accuracy; however, in a design context, when compared to the results of conventional flood frequency analysis, discrepancies are noted for a range of annual exceedance probabilities. The quasi-Monte Carlo simulation framework proved to be useful in assessing the effect of the IM content on design flood estimates.

Electron Scattering in Solids

1990 ◽  
Vol 48 (2) ◽  
pp. 4-5
Author(s):  
Ryuichi Shimizu ◽  
Ze-Jun Ding
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Angular Distribution ◽  
Elastic Scattering ◽  
Electron Scattering ◽  
Cross Sections ◽  
Expansion Method ◽  
Electron Excitation ◽  
Partial Wave Expansion ◽  
Backscattered Electrons

Monte Carlo simulation has been becoming most powerful tool to describe the electron scattering in solids, leading to more comprehensive understanding of the complicated mechanism of generation of various types of signals for microbeam analysis.The present paper proposes a practical model for the Monte Carlo simulation of scattering processes of a penetrating electron and the generation of the slow secondaries in solids. The model is based on the combined use of Gryzinski’s inner-shell electron excitation function and the dielectric function for taking into account the valence electron contribution in inelastic scattering processes, while the cross-sections derived by partial wave expansion method are used for describing elastic scattering processes. An improvement of the use of this elastic scattering cross-section can be seen in the success to describe the anisotropy of angular distribution of elastically backscattered electrons from Au in low energy region, shown in Fig.l. Fig.l(a) shows the elastic cross-sections of 600 eV electron for single Au-atom, clearly indicating that the angular distribution is no more smooth as expected from Rutherford scattering formula, but has the socalled lobes appearing at the large scattering angle.

Determination of Stoichiometry of GaAs Component in (Gaas)Ge Epitaxially Grown Thin Films by Electron Microprobe X-Ray Analysis

1990 ◽  
Vol 48 (2) ◽  
pp. 264-265
Author(s):  
D. R. Liu ◽  
S. S. Shinozaki ◽  
R. J. Baird
Keyword(s):  
Thin Film ◽  
Thin Films ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Compound Semiconductors ◽  
Energy Dispersive Analysis ◽  
X Ray ◽  
Metastable Alloys ◽  
Lower Voltage

The epitaxially grown (GaAs)Ge thin film has been arousing much interest because it is one of metastable alloys of III-V compound semiconductors with germanium and a possible candidate in optoelectronic applications. It is important to be able to accurately determine the composition of the film, particularly whether or not the GaAs component is in stoichiometry, but x-ray energy dispersive analysis (EDS) cannot meet this need. The thickness of the film is usually about 0.5-1.5 μm. If Kα peaks are used for quantification, the accelerating voltage must be more than 10 kV in order for these peaks to be excited. Under this voltage, the generation depth of x-ray photons approaches 1 μm, as evidenced by a Monte Carlo simulation and actual x-ray intensity measurement as discussed below. If a lower voltage is used to reduce the generation depth, their L peaks have to be used. But these L peaks actually are merged as one big hump simply because the atomic numbers of these three elements are relatively small and close together, and the EDS energy resolution is limited.

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