Wind Erosion in Western Queensland Australia
Modelling Land Susceptibility to Wind Erosion in Western ... - Ninti One Modelling Land Susceptibility to Wind Erosion in Western ... - Ninti One
Chepil, W.S., 1965. Transport of soil and snow by wind. Meteorological Monographs, 6(28):123-132.Coen, G.M., Tatarko, J., Martin, T.C., Cannon, K.R., Goddard, T.W., Sweetland, N.J., 2004.A method for using WEPS to map wind erosion risk of Alberta soils. EnvironmentalModelling & Software, 19(2): 185-189.Cornelis, W.M., Gabriels, D., 2003. The effect of surface moisture on the entrainment ofdune sand by wind: an evaluation of selected models. Sedimentology, 50(4): 771-790.Cornelis, W.M., Gabriels, D., Hartman, R., 2004a. A conceptual model to predict deflationthreshold shear velocity as affected by near surface soil water: 1. Theory. Soil ScienceSociety of America Journal, 68(4): 1154-1161.Cornelis, W.M., Gabriels, D., Hartman, R., 2004b. A conceptual model to predict deflationthreshold shear velocity as affected by near surface soil water: 2. Calibration andVerification. Soil Science Society of America Journal, 68(4): 1162-1168.Crimp, S.J., Day, K.A., 2003. Evaluation of multi-decadal variability in rainfall inQueensland using indices of El Niño-Southern Oscillation and inter-decadalvariability, National Drought Forum 2003: Science for Drought. CommonwealthBureau of Meteorology, Melbourne, pp. 106-114.Danaher, T.J., Armston, J. D., Collett, L. J., 2004. A multiple regression model for theestimation of woody foliage cover using Landsat in Queensland, Australia,Proceedings of the International Geoscience and Remote Sensing Symposium(IGARSS), Anchorage.Darwish, M.M., 1991. Threshold Friction Velocity: Moisture and Particle Size Effects, MSThesis, Texas Tech University.Dentener, F.J., Carmichael, G.R., Zhang, Y., Lelieveld, J., Crutzen, P.J., 1996. Role ofMineral Aerosol as a Reactive Surface in the Global Troposphere. Journal ofGeophysical Research, 101(D17): 22,869 - 22,889.Department of the Environment, Water, Heritage and the Arts, 2007. Australia’sBiogeographical Regions. Online Resource:http://www.environment.gov.au/parks/nrs/ibraDepartment of the Environment, Water, Heritage and the Arts, 2007. Australian NaturalResources Atlas. Online Resource: http://www.anra.gov.au/Diouf, B., Skidmore, E.L., Layton, J.B., Hagen, L.J., 1990. Stabilizing fine sand by addingclay: laboratory wind-tunnel study. Soil Technology, 3(1): 21-31.208
Donald, A., Meinke, H., Power, B., Maia, A. de H.N., Wheeler, M.C., White, N., Stone, R.C.,Ribbe J., 2006. Near-global impact of the Madden-Julian Oscillation on rainfall.Geophysical Research Letters, 33: L09704, doi:10.1029/2005GL025155.Duce, R.A., Liss, P.S., Merrill, J.T., Atlas, E.L., Buat-Ménard, P., Hicks, B.B., Miller, J.M.,Propsreo, J.M., Arimoto, R., Church, T.M., Ellis, E., Galoway, J.N., Hansen, L.,Jickels, T.D., Knap, A.H., Reinhardt, K.H., Schneider, B., Siudine, A., Tokos, J.J.,Tsunogai, S., Wollast, R., Zhou, M, 1991. The atmospheric input of trace species tothe world ocean. Global Biogeochemical Cycles, 5(3): 193-259.Eckström, M., McTainsh, G.H., Chappell, A., 2004. Australia dust storms: temporal trendsand relationships with the synoptic pressure distributions during 1960-99.International Journal of Climatology, 24: 1581-1599.Eldridge, D.J., Greene, R.S.B., 1994. Microbiotic soil crusts: A review of their roles in soiland ecological processes in the rangelands of Australia. Australian Journal of SoilResearch, 32: 389-415.Eldridge, D.J., Leys, J.F., 2003. Exploring some relationships between biological soil crusts,soil aggregation and wind erosion. Journal of Arid Environments, 53(4): 457-466.Fécan, F., Marticorena, B., Bergametti, G., 1999. Parameterization of the increase of theaeolian erosion threshold wind friction velocity due to soil moisture for arid and semiaridareas. Annales Geophysicae, 17(1): 149-157.Findlater, P.A., Carter, D.J., Scott, W.D., 1990. A model to predict the effects of prostrateground cover on wind erosion. Australian Journal of Soil Research, 28: 609-622.Fletcher, B., 1976. The incipient motion of granular materials. Journal of Physics D: AppliedPhysics, 9: 2471-2478.Fryberger, S.G., 1978. Techniques for the evaluation of surface wind data in terms of eoliansand drift. United States Department of the Interior, U.S. Geological Survey, Open-File Report 78-0405, pp. 25.Fryrear, D.W., 1985. Soil cover and wind erosion. Trans. ASAE, 28(3): 781-784.Fryrear, D.W., Krammes, C.A., Williamson, D.L., Zobeck, T.M., 1994. Computing the winderodible fraction of soils. Journal of Soil and Water Conservation, 49(2): 183.Fryrear, D.W., Saleh, A., Bilbro, J.D., 1998. A single event wind erosion model. Trans.ASAE, 41(5): 1369-1374.Fryrear, D.W., Bilbro, J.D., Saleh, A., Schomberg, H.M., Stout, J.E., Zobeck, T.M., 2000.RWEQ: Improved wind erosion technology. Journal of Soil and Water Conservation,55(2): 183-189.209
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- Page 228 and 229: Beadle, N.C.W., 1945. Dust storms.
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- Page 236 and 237: Gregory, J.M., 1984. Prediction of
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Chepil, W.S., 1965. Transport of soil and snow by w<strong>in</strong>d. Meteorological Monographs, 6(28):123-132.Coen, G.M., Tatarko, J., Mart<strong>in</strong>, T.C., Cannon, K.R., Goddard, T.W., Sweetland, N.J., 2004.A method for us<strong>in</strong>g WEPS to map w<strong>in</strong>d erosion risk of Alberta soils. EnvironmentalModell<strong>in</strong>g & Software, 19(2): 185-189.Cornelis, W.M., Gabriels, D., 2003. The effect of surface moisture on the entra<strong>in</strong>ment ofdune sand by w<strong>in</strong>d: an evaluation of selected models. Sedimentology, 50(4): 771-790.Cornelis, W.M., Gabriels, D., Hartman, R., 2004a. A conceptual model to predict deflationthreshold shear velocity as affected by near surface soil water: 1. Theory. Soil ScienceSociety of America Journal, 68(4): 1154-1161.Cornelis, W.M., Gabriels, D., Hartman, R., 2004b. A conceptual model to predict deflationthreshold shear velocity as affected by near surface soil water: 2. Calibration andVerification. Soil Science Society of America Journal, 68(4): 1162-1168.Crimp, S.J., Day, K.A., 2003. Evaluation of multi-decadal variability <strong>in</strong> ra<strong>in</strong>fall <strong>in</strong><strong>Queensland</strong> us<strong>in</strong>g <strong>in</strong>dices of El Niño-Southern Oscillation and <strong>in</strong>ter-decadalvariability, National Drought Forum 2003: Science for Drought. CommonwealthBureau of Meteorology, Melbourne, pp. 106-114.Danaher, T.J., Armston, J. D., Collett, L. J., 2004. A multiple regression model for theestimation of woody foliage cover us<strong>in</strong>g Landsat <strong>in</strong> <strong>Queensland</strong>, <strong>Australia</strong>,Proceed<strong>in</strong>gs of the International Geoscience and Remote Sens<strong>in</strong>g Symposium(IGARSS), Anchorage.Darwish, M.M., 1991. Threshold Friction Velocity: Moisture and Particle Size Effects, MSThesis, Texas Tech University.Dentener, F.J., Carmichael, G.R., Zhang, Y., Lelieveld, J., Crutzen, P.J., 1996. Role ofM<strong>in</strong>eral Aerosol as a Reactive Surface <strong>in</strong> the Global Troposphere. Journal ofGeophysical Research, 101(D17): 22,869 - 22,889.Department of the Environment, Water, Heritage and the Arts, 2007. <strong>Australia</strong>’sBiogeographical Regions. Onl<strong>in</strong>e Resource:http://www.environment.gov.au/parks/nrs/ibraDepartment of the Environment, Water, Heritage and the Arts, 2007. <strong>Australia</strong>n NaturalResources Atlas. Onl<strong>in</strong>e Resource: http://www.anra.gov.au/Diouf, B., Skidmore, E.L., Layton, J.B., Hagen, L.J., 1990. Stabiliz<strong>in</strong>g f<strong>in</strong>e sand by add<strong>in</strong>gclay: laboratory w<strong>in</strong>d-tunnel study. Soil Technology, 3(1): 21-31.208
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