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Wind Erosion in Western Queensland Australia

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

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Table 5.2 Correlation coefficients (r 2 ) for the cross-correlation analysis betweenmean and maximum (max) AUSLEM output at multiple spatial scales(25 to 150 km) and dust-event frequencies for eight stations with<strong>in</strong> thestudy area. Correlations between AUSLEM output and dust-eventfrequencies that are statistically significant (p > 0.05) are boldfaced.............149Table 5.3 Correlation coefficients (r 2 ) for the cross-correlation analysis betweenmean 3 pm w<strong>in</strong>d speeds (ms -1 ) and dust-event frequency groups andDSI for meteorological stations with<strong>in</strong> the study area. Correlationsbetween mean 3 pm w<strong>in</strong>d speeds and dust-event frequencies that arestatistically significant (p < 0.05) are boldfaced .............................................150Chapter 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 ModelTable 6.1 Criteria used for the visual assessment of land susceptibility to w<strong>in</strong>derosion. ............................................................................................................159Chapter 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>, 1980-2006Table 7.1 Correlation (r 2 ) between mean annual ra<strong>in</strong>fall, Troup SOI, PDO andmodelled land erodibility for the four study area bioregions, based onthe 27 year simulation. Significant correlations (p < 0.05) are boldfaced ......180xxi

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