Title of article
Modelling sediment delivery ratio over the Murray Darling Basin
Author/Authors
Hua Lu a، نويسنده , , b، نويسنده , , *، نويسنده , , C.J. Moran، نويسنده , , Ian P. Prosser، نويسنده ,
Issue Information
دوهفته نامه با شماره پیاپی سال 2006
Pages
12
From page
1297
To page
1308
Abstract
This paper presents a scientific and technical description of the modelling framework and the main results of modelling the longterm
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.
Keywords
Sediment delivery Ratio , Soil erosion , Catchment response , Sediment residence time , Effective rainfall duration , Spatial modelling
Journal title
Environmental Modelling and Software
Serial Year
2006
Journal title
Environmental Modelling and Software
Record number
958597
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