australian wind energy conference andrew lothian wind farms & landscape resources 1 national...
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Australian Wind Energy Conference Andrew Lothian Wind farms & landscape resources
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National Assessment of the Visual Impact of Wind
Farms Dr Andrew Lothian
Australian Wind Energy Conference Andrew Lothian Wind farms & landscape resources
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Issues
Scenic quality is regarded as subjective - “in the eyes of the beholder”.
Believed to be not possible to measure objectively and to predict likely visual impacts.
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Issues
Visual impacts of wind farms an Australian-wide issue.
Need for credible practical method to predict likely visual impact.
Future growth & well being of industry depends on this.
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Presentation What are landscape
resources ? Does everyone view
beauty differently? Measurement of
landscape quality What makes
landscape quality? Application to wind
farms
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What are landscape resources?
A public resource – not private
Not diminished by use
Changed but never destroyed
A qualitative resource – dependent of human perception
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Are landscape resources worth looking after?
Recreation and tourism
Quality of life Contribution to land
values Psychological value Image of a country Important economic,
environmental & social resource
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What we like
Mt Ossa, Tasmania (average 8.78)
Cape Spencer (8.41)Ratings
9.68.67.86.85.95.04.23.32.31.5
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What we don’t like
Samphire swamps (3.93)
Gibber plain (3.39)
Ratings
9.68.67.86.85.95.04.23.32.31.5
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Does everyone view beauty differently?
Surprising as it may seem, people’s landscape preferences are similar.
Findings from S.A. study of >300 people rating 160 scenes.
Boxplot – box covers 25% to 75% of ratings, line is median, ‘whiskers’ are rangeInfluence on ratings of Age
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Gender Income
Education Childhood residence
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Cultural Influences
Many studies compare cultural influence on landscape preferences
Example of Italians & Australians viewing scenes from both countries – differences are slight.
Studies generally show similar results between cultures
Figure 4.3 Comparison of Italian & Australian Landscape Preferences
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The literature and my South Australian research indicates –
The similarities in people’s landscape preferences are far greater than the
differences
Beauty is in the eyes of the beholder – but everyone’s eyes are similar
This similarity in preferences provides the basis for assessing landscape quality
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How can landscape quality be measured?
Being a qualitative attribute of the environment, it does not exist outside of human perception.
It requires people to measure it.
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Expert landscape appraisals
Studies have found that landscape appraisals by experts (e.g. landscape architects) tend to differ from the community.
Sinclair-Thomas Matrix commonly used - classifies scenic quality, scale of development, zone of visual impact, & degree of visual modification. Scorings are added together.
Scorings are ordinal ranks, cannot add them (like adding A, B, C).
We view landscapes holistically, not as parts. Results inform but do not necessarily
correspond with community preferences.
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Science of Psychophysics A branch of psychology that provides
approach to measuring landscape quality Developed by Gustav Fechner (1801-87) Measures effect of stimuli (eg noise, taste,
sight) on the brain Based on people being reasonably consistent
in making choices among options. A person’s landscape preferences do not change widely
Group preferences follow normal bell curve distribution; means represents true value
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Basic methodology for assessment of landscape
quality Landscape Scene -
Independent Variable
Rating of Landscape Scene
by Respondents -
Dependent Variable
Measure statistical relationships
between landscape and ratings
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Key requirements
Colour photographs – sufficient number to cover area and range of features
Standardised format, 50 mm lens, non-artistic composition, good lateral & foreground context to scenes, single landscape unit, use typical representative scenes – avoid unusual
10 point rating scale (1 – low, 10 - high) 300 minimum raters, adults, broadly
representative of community
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Photographs vs field assessment
Studies show that colour photographs can give similar ratings as field studies
Impractical to take large groups to rate landscape
Photographs enable widely separated locations to be rated on a comparable basis – important in wind farm evaluation
Musgraves NW S.A., SE Forests
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South Australia’s landscape resources
Most extensive mapping of landscape quality undertaken on basis of community preferences
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Landscape quality ratings for South Australia
Areas of ratings3 3.8% of S.A.4 46.0%5 44.1%6 2.2%7 0.5%8 0.03%Generally middle rating
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Landscape quality ratingsSouth Australian coast
Lengths of coast 3 1.9% of S.A.4 0.55 0.45%6 59.8%7 29.4%8 7.9%Generally high rating
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Landscape resources vs wind resources
Areas of good wind resource often coincide with high landscape value – why is this so?
Coast particularly significant – eg west coast Eyre Peninsula, lower Yorke Peninsula,
Escarpments & hills
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Wind farms and landscape
Understanding what factors make landscape quality is important in understanding the visual impact of wind farms and how to minimise this impact
Following findings are from South Australian study
Results are broadly applicable to Australia
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Land form Land cover Land use Water Diversity Naturalism
What creates landscape quality?
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Land form
Flats, hills & mountains
Mean ratings-Flats 4.69Hills 5.34Mountains 7.05
MountainsHillsFlats
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Coastal landforms
Cliffs 8.56 Beach/rocks/cliffs 8.04 Beaches/cliffs 8.03 Beaches/dunes 7.68 Rocks/cliff 7.52 Beaches/flat hinterland
6.66
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Influence of water
Water has a significant influence on ratings
Scenes with water 6.82
Scenes without water 5.31
Scenes with waterScenes without water
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Coastal scenes - factors4 factors examined for effect on ratings
Water area 15.3% Water/land edge 15.5% Water movement 8.0% Psychological impact -
serene/arousing 14.0%% over range of scores1
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Serene-Arousing
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Influence of naturalismNaturalism is extent of natural appearance without imprint of human presence visually evident.Scored out of 5Score 1 4.60
2 5.443 5.774 6.585 8.18
Many windfarms located in remote natural areas.
Scores
54321
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Influence of diversity
Scores
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Diversity is “busyness of scene” – totality of landform, land use, vegetation, water, colour etc
Scored out of 5
Score 1 4.05 2 5.47 3 6.74 4 6.74
There were no score 5’s in S.A.
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Implications
High quality landscapes Elevated land Water present Natural appearance DiversityThus good wind farm locations are likely to be of high landscape quality. Locationing & positioning of wind farms are thus vital factors.Relevant to coastal, agricultural and escarpment (upland) locations.
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Potential wind farm sitesCurrent number of wind farms is only tip of the iceberg.2% renewables target could increase to 10%.Experience of growth in UK, Germany, US.
Map of wind farms in Germany Source: Pasqualetti, et al, p 84
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Potential wind farm sites
Map indicates windy sites along coast and upland areas in South Australia.
Need to identify potential areas for wind farms
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Measuring the likely visual impacts of wind farms
Just as landscape quality derives from people’s preferences, so the assessment of potential visual impacts of wind farms must also involve people.
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Methodology – visual impacts
Principle is to measure landscape quality rating of scenes with and without the wind farm.
Identify potential wind farm sites with assistance of wind industry
Use digital camera and splice panoramas of scenes
Photograph up to 100 scenes per state Insert photomontages of wind farm on scene. Randomise order of scenes to avoid cognitive
analysis by raters deciding impacts.
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Methodology – visual impacts
Respondents rate landscape quality of each scene on 1 – 10 rating scale.
Use large groups ( 300 people) Participants should be general community,
not locals or with wind industry links – they should have no interest in the outcome to avoid strategic bias.
Rating sessions in each State of scenes from that State. Include a few across all States as benchmarks. There would be too many scenes nationally (600) to cover all at one sitting.
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Consistency of results The findings are likely to be consistent
across States for similar landscapes – eg similar ratings for coastal cliffs.
This is because it the characteristics of the scenes determine ratings, not the location. The results are therefore transferable.
State ratings are important for ownership and relevance for guidelines
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Expected resultsGraph compares likely responses to wind farms – neutral, positive or negative, from ratings of scenes
Extent of difference indicates significance of impact.
Analysis of scenes by States and nationally.
Scene Scene Scene with without withwind farm wind farm wind farm
Mean RatingsX- X X+
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Likely results Wind farm in natural
areas, eg coast – negative impact but this can be minimised by locating slightly inland.
Wind farm on farm land - positive impact due to added diversity
Wind farm on escarpments and hills – may be positive or negative impact
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Landscape vs use Landscape quality is a
community resource - like air and water it exists regardless of human use.
Need to look after it as we may want to use it in the future.
Spurious to argue that if no one sees it, that scenic quality doesn’t matter. View it as a resource.
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Use of Results Ratings will provide detailed
understanding of human perception of the visual impacts of wind farms.
This will provide basis for predicting likely community responses to wind farm proposals and indicate locations of acceptable visual impact.
State by State appraisals will provide basis for development of planning guidelines covering location, positioning and management for wind farm developers and planning authorities.
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Conclusions Landscape quality is an
important community resource
It is a subjective quality which can be assessed objectively
Assessment of the visual impacts of wind farms would assist Australia gain their benefits while safeguarding its landscape resources