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
Chapter 1 - Introductionevents yr -1 ), and down to coastal South Australia. This high-frequency region extends eastinto the Mallee-Riverina and Wimmera regions of western NSW, an area recording ~6.3 duststorm events yr -1 . The third region is located between Onslow and Carnarvon (8.1-5.6 eventsyr -1 ) on the Western Australian (WA) coast. Elevated dust-storm frequencies have beenobserved in southern WA (Carter, 1986); however, this region has received significantly lessattention than wind eroding regions in eastern Australia. The areas of high dust storm activityare located over red siliceous sand dunes and red earthy sands, texture-contrast soils, massivecalcareous earths, and cracking clay soils (Middleton, 1984; McTainsh and Leys, 1993).These soils are typically loose and mobile with poor aggregation, or in the case of thecracking clays, have a tendency to self-mulch and disaggregate.McTainsh and Pitblado (1987) examined the frequency of different types of dust eventsacross Australia. These included (following World Meteorological Organisation SYNOPCodes) dust storms (09), blowing dust (07), dust hazes (06) and dust whirls (08). While dustevents in general have been observed throughout much of Australia, dust-event frequenciesshow a trend of increasing with increasing aridity toward the centre of the continent. This isconsistent with global trends in dust source areas in Africa, the Middle East, China and NorthAmerica (Goudie and Midlleton, 2006). Blowing dust events occur less frequently and over asmaller area than dust storms, but in the same general source regions (McTainsh andPitblado, 1987). The spatial extent of dust hazes and whirls is further restricted within themajor regions frequently recording dust storms (Figure 1.1).Climatic indices to model spatial patterns in dust-storm frequencies across Australia weredeveloped by Burgess et al. (1989), McTainsh et al. (1990) and McTainsh et al. (1998). Themodels use soil moisture-erodibility (Em) relationships defined by Chepil (1965), winderosivity (Ew), and temporal variations between soil moisture, wind erosivity and winderosion (Et). The E-indices are based on Thornthwaite’s (1931) precipitation-evaporation (P-E) ratio that defines aridity on a broad scale. The Em index is able to explain 34% of thevariance in dust-storm frequencies across Australia (Burgess et al., 1989). Excess winderosion, defined where observed dust-storm frequencies are greater than those indicated bythe models, occurs around Carnarvon (WA), Alice Springs (NT) and in a belt running eastfrom Ceduna (SA) to Mildura (NSW) and up to Charleville in southwest Queensland.McTainsh et al. (1990) improved the performance of the Em-index by including a factor toaccount for mean annual wind run (Ew). They found the Ew index explains 66% of the6
Chapter 1 - Introductionvariance in dust-storm frequencies across eastern Australia. McTainsh et al. (1998) developeda seasonal component in the model (Et) to explain the effect of antecedent soil moistureconditions on wind erosion as they change on a seasonal basis. The index has a strongpositive correlation (r 2 = 0.9257) with mean annual dust storm-frequencies in Queensland,and in south-eastern Australia (r 2 = 0.6946), but by its nature only models dust storm activityand at broad spatial scales (e.g. >10 5 km 2 ).Geographically, the dust-storm regions east of 135° longitude are located in the Lake Eyreand Murray-Darling river basins. The areas receive rainfall
- Page 1: Modelling Land Susceptibility toWin
- Page 4: AUSLEM was developed as a Geographi
- Page 8 and 9: who joined me on many trips, shared
- Page 10 and 11: Conference Presentations by the Aut
- Page 12 and 13: 2.2.5 Soil Moisture Effects........
- Page 14 and 15: Chapter 6: Assessing Land Susceptib
- Page 16 and 17: List of FiguresChapter 1: Introduct
- Page 18 and 19: Figure 2.11 Conceptual model of lan
- Page 20 and 21: hand column) presents trajectories
- Page 22 and 23: List of TablesChapter 1: Introducti
- Page 24 and 25: xxii
- Page 26 and 27: Chapter 1 - Introduction• The abi
- Page 28 and 29: Chapter 1 - Introductionchapter the
- Page 32 and 33: Chapter 1 - IntroductionFigure 1.2
- Page 34 and 35: Chapter 1 - Introductionsusceptibil
- Page 36 and 37: Chapter 1 - Introductiontemporal pa
- Page 38 and 39: Chapter 1 - Introduction1.5 Researc
- Page 40 and 41: Chapter 1 - IntroductionFigure 1.3
- Page 42 and 43: Chapter 1 - IntroductionMitchell Gr
- Page 44 and 45: Chapter 1 - IntroductionSimpson-Str
- Page 46 and 47: Chapter 1 - IntroductionDowns. Wind
- Page 48 and 49: Chapter 1 - IntroductionChapter 2 p
- Page 50 and 51: Chapter 2 - Land Erodibility Contro
- Page 52 and 53: Chapter 2 - Land Erodibility Contro
- Page 54 and 55: Chapter 2 - Land Erodibility Contro
- Page 56 and 57: Chapter 2 - Land Erodibility Contro
- Page 58 and 59: Chapter 2 - Land Erodibility Contro
- Page 60 and 61: Chapter 2 - Land Erodibility Contro
- Page 62 and 63: Chapter 2 - Land Erodibility Contro
- Page 64 and 65: Chapter 2 - Land Erodibility Contro
- Page 66 and 67: Chapter 2 - Land Erodibility Contro
- Page 68 and 69: Chapter 2 - Land Erodibility Contro
- Page 70 and 71: Chapter 2 - Land Erodibility Contro
- Page 72 and 73: Chapter 2 - Land Erodibility Contro
- Page 74 and 75: Chapter 2 - Land Erodibility Contro
- Page 76 and 77: Chapter 2 - Land Erodibility Contro
- Page 78 and 79: Chapter 2 - Land Erodibility Contro
Chapter 1 - Introductionevents yr -1 ), and down to coastal South <strong>Australia</strong>. This high-frequency region extends east<strong>in</strong>to the Mallee-River<strong>in</strong>a and Wimmera regions of western NSW, an area record<strong>in</strong>g ~6.3 duststorm events yr -1 . The third region is located between Onslow and Carnarvon (8.1-5.6 eventsyr -1 ) on the <strong>Western</strong> <strong>Australia</strong>n (WA) coast. Elevated dust-storm frequencies have beenobserved <strong>in</strong> southern WA (Carter, 1986); however, this region has received significantly lessattention than w<strong>in</strong>d erod<strong>in</strong>g regions <strong>in</strong> eastern <strong>Australia</strong>. The areas of high dust storm activityare located over red siliceous sand dunes and red earthy sands, texture-contrast soils, massivecalcareous earths, and crack<strong>in</strong>g clay soils (Middleton, 1984; McTa<strong>in</strong>sh and Leys, 1993).These soils are typically loose and mobile with poor aggregation, or <strong>in</strong> the case of thecrack<strong>in</strong>g clays, have a tendency to self-mulch and disaggregate.McTa<strong>in</strong>sh and Pitblado (1987) exam<strong>in</strong>ed the frequency of different types of dust eventsacross <strong>Australia</strong>. These <strong>in</strong>cluded (follow<strong>in</strong>g World Meteorological Organisation SYNOPCodes) dust storms (09), blow<strong>in</strong>g dust (07), dust hazes (06) and dust whirls (08). While dustevents <strong>in</strong> general have been observed throughout much of <strong>Australia</strong>, dust-event frequenciesshow a trend of <strong>in</strong>creas<strong>in</strong>g with <strong>in</strong>creas<strong>in</strong>g aridity toward the centre of the cont<strong>in</strong>ent. This isconsistent with global trends <strong>in</strong> dust source areas <strong>in</strong> Africa, the Middle East, Ch<strong>in</strong>a and NorthAmerica (Goudie and Midlleton, 2006). Blow<strong>in</strong>g dust events occur less frequently and over asmaller area than dust storms, but <strong>in</strong> the same general source regions (McTa<strong>in</strong>sh andPitblado, 1987). The spatial extent of dust hazes and whirls is further restricted with<strong>in</strong> themajor regions frequently record<strong>in</strong>g dust storms (Figure 1.1).Climatic <strong>in</strong>dices to model spatial patterns <strong>in</strong> dust-storm frequencies across <strong>Australia</strong> weredeveloped by Burgess et al. (1989), McTa<strong>in</strong>sh et al. (1990) and McTa<strong>in</strong>sh et al. (1998). Themodels use soil moisture-erodibility (Em) relationships def<strong>in</strong>ed by Chepil (1965), w<strong>in</strong>derosivity (Ew), and temporal variations between soil moisture, w<strong>in</strong>d erosivity and w<strong>in</strong>derosion (Et). The E-<strong>in</strong>dices are based on Thornthwaite’s (1931) precipitation-evaporation (P-E) ratio that def<strong>in</strong>es aridity on a broad scale. The Em <strong>in</strong>dex is able to expla<strong>in</strong> 34% of thevariance <strong>in</strong> dust-storm frequencies across <strong>Australia</strong> (Burgess et al., 1989). Excess w<strong>in</strong>derosion, def<strong>in</strong>ed where observed dust-storm frequencies are greater than those <strong>in</strong>dicated bythe models, occurs around Carnarvon (WA), Alice Spr<strong>in</strong>gs (NT) and <strong>in</strong> a belt runn<strong>in</strong>g eastfrom Ceduna (SA) to Mildura (NSW) and up to Charleville <strong>in</strong> southwest <strong>Queensland</strong>.McTa<strong>in</strong>sh et al. (1990) improved the performance of the Em-<strong>in</strong>dex by <strong>in</strong>clud<strong>in</strong>g a factor toaccount for mean annual w<strong>in</strong>d run (Ew). They found the Ew <strong>in</strong>dex expla<strong>in</strong>s 66% of the6