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Wind Erosion in Western Queensland Australia

Modelling Land Susceptibility to Wind Erosion in Western ... - Ninti One

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hand column) presents trajectories for circular potential dust sourceareas with radii from 25 to 150 km. 5b (right hand column) presentstrajectories for potential dust source areas (radius 100 km) oriented tothe north, south, east and west around the stations ........................................148Figure 5.6 Time series trajectories of mean annual AUSLEM output for 100 kmw<strong>in</strong>dows and annual total dust-event frequencies (all event types) forthe eight meteorological stations used <strong>in</strong> model validation. Solid l<strong>in</strong>esrepresent AUSLEM output trajectories and dashed l<strong>in</strong>es representdust-event frequencies ...................................................................................151Chapter 6: Assess<strong>in</strong>g Land Susceptibility to <strong>W<strong>in</strong>d</strong> <strong>Erosion</strong>: Validation ofthe <strong>Australia</strong>n Land Erodibility ModelFigure 6.1 Location map show<strong>in</strong>g major bioregions, Landsat ETM+ image scenesused for model validation, transect observation tracks for datacollected <strong>in</strong> September 2006, and vegetation cover calibration sites: 1)‘Croxdale’, 2) ‘Lake B<strong>in</strong>degolly’, 3) ‘Ethabuka’ (sand dune crest), 4)‘Ethabuka’ (dune swale), 5) ‘Diamant<strong>in</strong>a National Park’, 6)‘Spoilbank’.....................................................................................................158Figure 6.2 Calibration regression of field estimates of herbaceous vegetationcover versus recorded cover based on 24 calibration tests (October2005 to May 2007).........................................................................................161Figure 6.3 Example model output image for the Bedourie scene show<strong>in</strong>g visualassessments of land erodibility as an overlay to the model assessments.White areas are non-erodible with tree cover greater than 20%....................163Figure 6.4 Modelled versus observed land erodibility for the five Landsat scenes.The data show the mean ± 1 standard deviation (SD) of the predictedvalues for each observed land erodibility class. The number ofobservations (n) is shown for each class........................................................165Chapter 7: Simulations of the Spatio-Temporal Aspects of Land Erodibility<strong>in</strong> the North-East Lake Eyre Bas<strong>in</strong>, <strong>Australia</strong>, 1980-2006Figure 7.1 Map show<strong>in</strong>g the study area location with<strong>in</strong> the Lake Eyre Bas<strong>in</strong>,<strong>Australia</strong>, and major geomorphic features relevant to this study...................169xviii

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