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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 4 –Modell<strong>in</strong>g Soil Erodibility Dynamics2.34(%)Q = 737.43 clay(4.6)An assumption made <strong>in</strong> select<strong>in</strong>g this limit is that the crust conditions on the soils measuredby Leys et al. (1996) are representative of the m<strong>in</strong>imum erodibility of those soils, i.e. lowestfraction of loose erodible material and dry soil surface. This model operates under theassumption that soil moisture content is equal to zero, with soil erodibility be<strong>in</strong>g controlledby the soil aggregate size distribution.The maximum erodibility limit now needs to be def<strong>in</strong>ed. The highest values for Q obta<strong>in</strong>edby Leys et al. (1996) for sandy soils were around 150 gm -1 s -1 at a w<strong>in</strong>d velocity of 65 kmh -1 .For the current study this value will be considered representative of Q max for all soil textures.An assumption made <strong>in</strong> sett<strong>in</strong>g this limit is that given the right climate and land managementconditions the dry aggregate size distribution of any soil could potentially match that of thesandy soil produc<strong>in</strong>g Q at 150 gm -1 s -1 . In practice Q max will not be constant for all soiltextures. While sandy soils display high erodibility and a relatively small range of variationdue to aggregation, soils with high clay content may experience a wide range of aggregation.The extent to which erodibility can <strong>in</strong>crease for soils with high clay content is dependent onthe nature and severity of disturbance mechanisms. If a hypothetical maximum disturbancewere reached on clay textured soils, a decrease <strong>in</strong> surface roughness may result, caus<strong>in</strong>g an<strong>in</strong>crease <strong>in</strong> u *t and decrease <strong>in</strong> erodibility by the nature of that measured by Bagnold (1941) -relat<strong>in</strong>g to <strong>in</strong>creased <strong>in</strong>ter-particle cohesion <strong>in</strong> the very f<strong>in</strong>e clay gra<strong>in</strong>s (< 0.08 mm).Furthermore, the m<strong>in</strong>ima <strong>in</strong> measured soil erodibility at ~27% clay due to strong gra<strong>in</strong>b<strong>in</strong>d<strong>in</strong>g and aggregation <strong>in</strong> some clay loam soils (e.g. Chepil, 1953) would likely cause a dip<strong>in</strong> Q at around this po<strong>in</strong>t and mov<strong>in</strong>g up the cont<strong>in</strong>uum.A three-dimensional plot can be produced from Equations (4.4) and (4.5) to conceptualise thephysical dimensions of the soil erodibility cont<strong>in</strong>uum (Figure 4.3). Values of Q computedwith <strong>in</strong>puts of clay content from 0 to 100% can be matched to values of Q computed us<strong>in</strong>gEquation (4.5) for a full range of soil aggregate size distributions (%DA >0.84 mm). Here thecoefficient a = 150 based on Q max , and -b = -0.078 (r 2 = 0.99, p < 0.01) based on Leys et al.(1996). The lower limit for Q is def<strong>in</strong>ed by values computed from Equation (4.6). The modeloperates on the premise that the percentage of dry aggregates >0.84 mm, the non-erodiblefraction, determ<strong>in</strong>es soil erodibility. The plot illustrates the potential erosion rates108

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