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Wind Erosion in Western Queensland Australia

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

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Chapter 5 – Land Erodibility Model Developmentwhich they were derived; and application outside the conditions under which they werederived can result <strong>in</strong> poor modell<strong>in</strong>g outcomes (Visser et al., 2005).The approach taken to improv<strong>in</strong>g AUSLEM as specified by Webb et al. (2006) was toredesign its rule-based system to one us<strong>in</strong>g modified empirical expressions. Specificobjectives were to produce a model that:• Captures the physical nature of the land erodibility cont<strong>in</strong>uum;• Does not bias output toward certa<strong>in</strong> soil groups or land forms;• Reta<strong>in</strong>s a computationally simple structure that functions with readily available <strong>in</strong>putspatial data, without the requirement for <strong>in</strong>put development; and• Can be calibrated to suit soil and vegetation conditions <strong>in</strong> relevant application areas.5.3.3 Model FrameworkFigure 5.3 shows the revised model framework and computational procedure of AUSLEM.The model has two dynamic components account<strong>in</strong>g for daily grass cover and soil moistureeffects, and three static components that provide tree and stone cover masks and a soil texturefactor based on soil clay content. The computational procedure is numbered from 1 to 3.Follow<strong>in</strong>g parameterisation of the soil erodibility model developed <strong>in</strong> Chapter 4, that modelmay also be <strong>in</strong>corporated <strong>in</strong>to the AUSLEM framework.Figure 5.3 Flow chart illustrat<strong>in</strong>g the model framework and computational procedure (labelled 1 to 3).A texture based soil erodibility component (dotted arrows) can be <strong>in</strong>cluded when a suitable modelbecomes available.136

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