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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 3 – Modell<strong>in</strong>g Land Erodibility Reviewwhere SA is the sand content (%), Si is the silt content (%), CL is the clay content (%), OM isthe organic matter content (%), and CaCO 3 is the calcium carbonate content (%). The soilcrust factor (CF) is computed us<strong>in</strong>g the equation:CF1= (3.4)1+0.0066( CL) 2 + 0. 021( OM ) 2The model weather factor (WF) comb<strong>in</strong>es measures of w<strong>in</strong>d erosivity and a w<strong>in</strong>d erodibilityfactor based on soil water content. The weather data is simulated and draws on an historicalweather database (Fryrear et al., 1998). As for WEQ, the model K’ factor describes the soilridge roughness and COG (Equation 3.2) def<strong>in</strong>es the percentage cover of dead, flat andstand<strong>in</strong>g plant material. Both the K’ and COG factors can be either measured <strong>in</strong> situ, orderived from a series of empirical relationships (Merrill et al., 1999). Importantly, the factors<strong>in</strong> RWEQ reflect current field conditions for particular events, rather than annual averageconditions (as for WEQ).RWEQ can be applied to predict soil loss from multiple <strong>in</strong>dividual fields. However, themodel <strong>in</strong>puts represent s<strong>in</strong>gle value average conditions for the fields, and so the modelassumes spatial homogeneity <strong>in</strong> the soil management, surface crust<strong>in</strong>g, and vegetation coverconditions. The implication of this is that the model cannot be applied to accurately simulatesoil loss <strong>in</strong> rangeland environments where field conditions are highly non-uniform(heterogeneous). The expressions used to compute the soil surface conditions are based onregression equations and data collected on soils <strong>in</strong> the United States (US). While RWEQ hasbeen applied successfully outside the US (Van Pelt et al., 2004), this application is still relianton experimental data to support model predictions of soil erodibility on soils different tothose <strong>in</strong> the US (Leys, 1999).3.2.3 <strong>W<strong>in</strong>d</strong> <strong>Erosion</strong> Prediction System (WEPS)The <strong>W<strong>in</strong>d</strong> <strong>Erosion</strong> Prediction System (WEPS) was developed to advance w<strong>in</strong>d erosionprediction through process-based modell<strong>in</strong>g. While WEQ and RWEQ rely on empiricalrelationships and field-measured <strong>in</strong>puts, WEPS was developed as a process based,cont<strong>in</strong>uous, daily time-step w<strong>in</strong>d erosion model that simulates weather, field conditions,74

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