Modelling sediment delivery ratio over the Murray Darling Basin

Lu, H., Moran, C. J. and Prosser, I. P. (2006) Modelling sediment delivery ratio over the Murray Darling Basin. Environmental Modelling & Software, 21 9: 1297-1308. doi:10.1016/j.envsoft.2005.04.021

Author Lu, H.
Moran, C. J.
Prosser, I. P.
Title Modelling sediment delivery ratio over the Murray Darling Basin
Journal name Environmental Modelling & Software   Check publisher's open access policy
ISSN 1364-8152
Publication date 2006-01-01
Sub-type Article (original research)
DOI 10.1016/j.envsoft.2005.04.021
Volume 21
Issue 9
Start page 1297
End page 1308
Total pages 12
Editor Anthony Jakeman
Place of publication Kidlington, Oxford OX5 iGB, UK
Publisher Pergamon
Language eng
Subject C1
770802 Land and water management
300803 Natural Resource Management
050205 Environmental Management
Abstract This paper presents a scientific and technical description of the modelling framework and the main results of modelling the long-term average sediment delivery at hillslope to medium-scale catchments over the entire Murray Darling Basin (MDB). A theoretical development that relates long-term averaged sediment delivery to the statistics of rainfall and catchment parameters is presented. The derived flood frequency approach was adapted to investigate the problem of regionalization of the sediment delivery ratio (SDR) across the Basin. SDR, a measure of catchment response to the upland erosion rate, was modeled by two lumped linear stores arranged in series: hillslope transport to the nearest streams and flow routing in the channel network. The theory shows that the ratio of catchment sediment residence time (SRT) to average effective rainfall duration is the most important control in the sediment delivery processes. In this study, catchment SRTs were estimated using travel time for overland flow multiplied by an enlargement factor which is a function of particle size. Rainfall intensity and effective duration statistics were regionalized by using long-term measurements from 195 pluviograph sites within and around the Basin. Finally, the model was implemented across the MDB by using spatially distributed soil, vegetation, topographical and land use properties under Geographic Information System (GIs) environment. The results predict strong variations in SDR from close to 0 in floodplains to 70% in the eastern uplands of the Basin. (c) 2005 Elsevier Ltd. All rights reserved.
Keyword Computer Science, Interdisciplinary Applications
Engineering, Environmental
Environmental Sciences
Sediment Delivery Ratio
Soil Erosion
Catchment Response
Sediment Residence Time
Effective Rainfall Duration
Spatial Modelling
Flood Frequency
Q-Index Code C1

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Created: Wed, 15 Aug 2007, 20:36:57 EST