Modelling streamflow in a large anastomosing river of the arid zone, Diamantina River, Australia

Anastomosing rivers form a subset of the anabranching family of river types and provide considerable challenges to modelling of their streamflow because of complex flow patterns across greatly varying floodplain widths. Estimates of distributed flow data are required for catchment management purposes and ecological studies of these rivers but are hindered by a paucity of measured discharge data. A grid-based, semi-distributed, conceptual model structure is applied to a 330 km reach of the arid zone Diamantina River of central Australia. Model complexity is constrained by data availability with only a single gauging station located at the downstream end of the reach to provide discharge data for model calibration. The model uses a simple conceptual bucket structure and accounts for exceptionally high transmission losses as well as flow patterns and wave speeds that vary with discharge within the reach. The intricate flow patterns across the floodplains widths of up to 50 km are simulated using a grid-based structure that required the following features: (i) cell connections that are explicitly defined using a code that allows for multi-directional flow from a cell; and (ii) each cell having a binary flow pattern, with the second connection pattern being triggered when the surface storage of the cell exceeds a calibrated level for a given land-type. Satellite images were used to define the flow paths, and hence cell connection patterns, utilised by various sized floods. The model was able to provide acceptable simulation of large floods but with decreasing model performance in the simulation of small to medium sized floods. Simulation suggested that incorrectly defined flow paths for the smaller floods were a major factor in this decreased performance. The capability of the model would be improved by further detailed mapping, using satellite imagery, of spatial patterns of inundation as discharge varies. q 2005 Elsevier B.V. All rights reserved.