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01front.pdf	1.1 MB	Adobe Acrobat PDF	View/Open
02chapters1-7.pdf	2.2 MB	Adobe Acrobat PDF	View/Open
03chapters8-9.pdf	1.8 MB	Adobe Acrobat PDF	View/Open
04references.pdf	148.9 kB	Adobe Acrobat PDF	View/Open
05appendices.pdf	1.6 MB	Adobe Acrobat PDF	View/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/24982

Title

Rainfall runoff model improvements incorporating a dynamic wave model and synthetic stream networks

Author/Creator

Cui, Gurong

Institution

University of Newcastle. Engineering

Description

This thesis concerns general improvements to rainfall runoff models and focuses on two particular aspects, namely flood-wave routing in the main channel and consistent parameterisation of the rainfall-runoff process under different degrees of discretization of the catchment. The primary goal is to: 1) describe a general methodology for parameterisation of a rainfall runoff model so that the parameters are consistent across catchments modelled at different discretization scales and 2) develop an improved channel routing technique which takes proper account of the effects of all characteristics of wave motions in the channels. The first of these concerns methods for removing the inconsistency of parameterisation that results from different catchment discretizations in rainfall-runoff models. A stochastic Tokunaga network is developed for dealing with the scaling inconsistence. The problem of network embedding is also discussed. The second is a relatively simple method for the solution of the full dynamic wave equations for one-dimensional channel flow, which accurately simulates the effects of shocks.

Description

PhD Doctorate

Date

2000

Keyword

Parameterisation

Keyword

Stream network

Keyword

Tokunaga tree

Keyword

rainfall runoff

Keyword

scaling

Keyword

regional scale

Resource Type

Australasian Digital Thesis

Rights

http://www.newcastle.edu.au/copyright.html

Rights

Copyright 2000 Cui Gurong

Identifier

http://hdl.handle.net/1959.13/24982

Language

eng

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